Senior Engineer jobs at Oshkosh

Remote: This role is based remotely but if you live within a 50-mile radius of Mountain View, you are expected to report to that location three times a week, at minimum. The Role: We are seeking an experienced Staff full stack engineer with a strong ability to execute hands-on technical work. The AI Lifecycle Team provides the UX backbone and visualization products that Machine Learning Engineers use to shepherd their ideas from data collection to model deployment in the AV. We enable MLEs at Cruise to Run and debug ML pipelines, Initiate data collection, Manage model training, Evaluate model performance, Deploy models to the AV. As a Staff Full Stack Engineer, you will collaborate closely with machine learning engineers, research scientists, and other partners to develop state-of-the-art AI solutions that enable the future of intelligent driving technologies across General Motors vehicles. What You'll Do: Build UX experiences and agentic workflows to improve MLE workflows and productivity Build backend integrations to provide unified experience across ML lifecycle Raise the bar on system observability, debuggability, and operational excellence, and user experience. Own and drive the design and architecture across the ecosystem that meets security and compliance standards Establish consistent metrics to measure platform performance & health and create the roadmap for scale, reliability, low latency and speed of development and deployment Partner with cross functional teams to understand requirements to design, architect and build framework of UX and backend integrations. Partner with engineering teams to ensure seamless end-to-end flow and data quality Work across the project lifecycle: requirements, design, prototype, implementation, review, release, monitoring Review and approve technical design documents and pull requests. Improve and enhance engineering systems documentation and development processes Identify and pursue new paths of inquiry, innovation and challenge status quo Develop and nurture technical talent within the team and recruiting Your Skills & Abilities (Required Qualifications) At least 7+ years of experience building production-level frontend applications using React, Angular, WebGL or similar frameworks Strong understanding of JavaScript/TypeScript and dynamic frontend fundamentals Experience building, deploying, and operating high-availability services Led large technical initiatives from idea to operationalization and continuous evolution of technical solution to enable new business capabilities and improve efficiencies Ability to identify broad challenges (technical, functional, business challenges) worth tackling, and parse them into initiatives within and across engineering teams Experience creating ground up enterprise architecture, systems architecture, integration architecture standards, frameworks, and practices Programming experience in Python, Java, Go Experience working with cloud infrastructure, automations, configuration management, artifact management and building advanced CI/CD solutions Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington. The salary range for this role is $180,500 to $241,500. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. Benefits: Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. Relocation: This job may be eligible for relocation benefits. About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies The Safety Assurance for Effective Autonomous Driving Software (SAFE-ADS) department is part of the Global Product Safety, System, and Certification (GPSSC) organization at GM. This department serves as the central body for automated driving system (ADS) safety and brings together expertise from across the company to establish a comprehensive safety case. GM's vision is zero crashes, zero emissions, and zero congestion - AV safety is at the heart of driving forward this vision. The Role The AV Safety Strategy and Assessment team is seeking a technical leader with extensive experience in the full end to end development lifecycle for autonomous vehicle behaviors driven by artificial intelligence & machine learning models. As the AV Behavior and AI Safety Principal Engineer, you will need to stay current on industry best practices and standards and guide the development of GM's AV Behavior Validation and AI safety strategy. This technical leader role requires extensive experience leading the development and implementation of AV Behavior Validation methodologies across a broad range of L4 autonomous features. A successful candidate will also have extensive experience setting the AI safety strategy for engineering development teams that are focused on AI/ML and following through on implementation and validation of safe AI development and deployment practices. If you're passionate about safety, driving innovation through AI/ML and are a proven technical leader, this role offers an exciting opportunity to contribute to impactful projects in a dynamic team environment. As the AV Behavior and AI Safety Technical Lead, you will be responsible for working with our partners and customers to define safety strategies and targets for AI/ML based autonomous driving systems. You will connect deeply to understand their challenges and needs, collaborate on new machine learning solutions, assess the safety of existing production models and cloud environments, collaborate on proof of concepts for new generative AI solutions and provide safety guidance to a team of AI/ML developers. You will apply your experience with ISO 8800 and ISO 21448 to ensure we develop, deploy and maintain safe AI/ML systems in simulation, on closed course and on public roads. What You'll Do (Responsibilities) Referencing ISO 8800, ISO 21448 and AV industry best practices, develop the strategy for ensuring safe AI/ML and autonomous system development, deployment and maintenance. Work with software, data science and systems engineering teams to ensure GM safely trains new machine learning models to enable autonomous systems. Ensure continuity of safety as we enhance existing machine learning models to increase performance. Set the safety standard for how we prototype, test and deploy new AI solutions, including Generative AI Set the strategy for testing and validation of data sets and develop an assurance plan. Set the strategy for how we systematically break down operational design domain components and driving behavior components and how these are validated in aggregate and on a per behavior level. Work with data science, systems engineering and software teams to set the strategy for how we establish safety launch targets across vehicle behaviors and in aggregate Setup an assurance process to validate launch targets have been achieved Your Skills & Abilities (Required Qualifications) Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field 7+ years of experience in machine learning, engineering, data science, or a related field 7+ years in autonomous vehicle or robotics development or related field Looking for Extensive Experience in the following: Machine Learning & AI Safety: ISO 8800, ISO 21448 and other applicable industry standards and best practices for autonomous vehicles, aerospace and/or robotics. Validation of AI Driven Autonomous Systems: Setting the strategy for E2E validation using techniques appropriate to validate AI models Programming & Frameworks: Python, R, Java, PySpark, PyTorch, TensorFlow, Scikit-learn, LangChain, SQL •Machine Learning & AI: Large Language Models (LLMs), Generative AI, RAG, Deep learning, Reinforcement Learning, Natural Language Processing (NLP), SVM, XGBoost, Random Forest, Decision Trees, Clustering Cloud & Big Data Platforms: (Preferred Microsoft Azure (Data Lake, Machine Learning, Databricks)), Nice to Have (AWS (S3, SageMaker, Bedrock) or Google Cloud Platform (BigQuery, Dataflow, AI Platform) ) Deployment & MLOps: MLflow, Model Monitoring & Versioning, Docker & Kubernetes, GitHub, Jira Data Analysis & Visualization: Tableau, PowerBI, Pandas, NumPy Proven track record providing technical safety leadership in AI/ML and AV development Excellent communication and collaboration skills, with the ability to work effectively in a team environment Strong problem-solving mindset and a proactive attitude towards learning and self-improvement What Will Give You A Competitive Edge (Preferred Qualifications) Masters Degree in Computer Science, Engineering, Mathematics or related field Extensive NLP solutions from business problem statement to deployment and ongoing optimization Expertise with Large Language Models solutions from business problem statement to cloud deployment that have provided significant incremental business value Experience with generative AI solutions that you have developed and deployed into a production environment that have provided significant incremental business value Experience leading a team of data scientists to exceed customer expectations Compensation: The expected base compensation for this role is $227,800- $349,600 USD Annually Actual base compensation within the identified range will vary based on factors relevant to the position Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. This role is categorized as remote. This means the selected candidate may be based anywhere in the country of work and is not expected to report to a GM worksite unless directed by their manager. This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate. About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Role: As a Principal Staff Artificial Intelligence Engineer within the Simulation and Testing organization, you will play a critical role in leading the strategy and execution of simulation-based validation efforts for autonomous vehicle development. Your expertise will guide a team of engineers in defining best practices and driving innovation in testing and verifying the safety and performance of autonomous systems in complex simulated environments. You will be responsible for shaping the future of our simulation capabilities and ensuring robust validation methods are implemented effectively. About the Organization: The Simulation and Testing team is dedicated to advancing the development of autonomous vehicles through cutting-edge simulation technologies. We focus on creating realistic and challenging test scenarios that enable comprehensive evaluation of autonomous systems. Our collaborative environment fosters innovation and excellence, allowing us to push the boundaries of what is possible in autonomous vehicle testing. What You'll Do: Lead the design, development, and implementation of simulation-based validation strategies for autonomous systems, ensuring safety and performance metrics are met. Guide and mentor a team of engineers, fostering a culture of innovation and excellence in simulation methodologies. Define and implement robust validation methods and sophisticated evaluation strategies within simulation frameworks, including the creation of challenging test scenarios and analysis of results at scale. Collaborate cross-functionally with teams involved in autonomous system development to ensure seamless integration of simulation testing into the overall development process. Influence technical roadmaps and strategic priorities, aligning simulation efforts with company objectives and product milestones. Your Skills & Abilities (Required Qualifications): Master's in Robotics, Computer Science, Engineering, or a related technical field. 10 years of extensive experience in simulation and testing, preferably within the autonomous vehicle domain. Proven track record in developing or testing large-scale Machine Learning (ML) systems, with a strong understanding of simulation platforms and methodologies. Direct experience leveraging LLMs/VLMs/etc. for production workflows. Experience with the entire machine learning lifecycle from data generation and curation through model training through model deployment. Hands-on expertise in implementing robust validation methods and evaluation strategies, including defining relevant metrics and correlating simulation performance with real-world behavior. Strong software engineering skills, particularly in programming languages relevant to simulation and testing. Excellent communication, collaboration, and mentoring abilities, with a passion for driving innovation in autonomous technology. What Can Give You a Competitive Edge (Preferred Qualifications): Ph.D. in Robotics, Computer Science, Engineering, or a related technical field. 15 years of extensive experience in simulation and testing, preferably within the autonomous vehicle domain. Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area. The salary range for this role is $193,000 - $296,600. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.” Remote: This role is based remotely but if you live within a 50-mile radius of [Atlanta, Austin, Detroit, Warren, Milford or Mountain View], you are expected to report to that location three times a week, at minimum. This job may be eligible for relocation benefits. #LI-DO1 About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards Resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

This role is based remotely but if you live within a 50-mile radius of [Austin, Detroit, Warren, Milford, Mountain View, Sunnyvale], you are expected to report to that location three times a week, at minimum. About Us We're on a mission to build the world's most advanced self-driving vehicles to safely connect people to the places, things, and experiences they care about. At GM's Autonomous Vehicle (AV) organization, we're combining cutting-edge research, robust engineering, and large-scale systems to make this future a reality. Our team is developing national-scale, next-generation mapping systems from the ground up-combining robust backend infrastructure with intuitive, performant user interfaces. The Role We are looking for a Staff Software Engineer with deep expertise in distributed backend systems to join our Mapping Engineering team. You'll serve as a technical leader responsible for designing and building the scalable systems that power ingestion, storage, access, and delivery of autonomous vehicle maps. You'll partner closely with EMs, Staff/Principal ICs, and cross-functional teams to define the architecture and deliver next gen mapping capabilities that scale to national deployments. This is a hands-on leadership role requiring strong systems thinking, architecture design, and the ability to guide and mentor engineers across teams. You'll operate autonomously, lead cross-functional technical initiatives, and ensure the health, scalability, and performance of our critical mapping pipelines and services. What You'll Do (Responsibilities) Architect and implement scalable, reliable, distributed backend systems to support national-scale mapping. Design and evolve data pipelines and microservices for map ingestion, transformation, storage, and release. Own end-to-end delivery of high-impact projects, including defining milestones, aligning stakeholders, and mentoring ICs across functions. Collaborate cross-functionally with Localization, Perception, Simulation, and Offboard teams to define data contracts and ensure system interoperability. Drive technical excellence by conducting system-level design reviews, mentoring engineers, and setting the standard for code quality, testing, and documentation. Diagnose and resolve large-scale system issues across services, data pipelines, and production environments. Serve as the Subject Matter Expert (SME) in distributed system design, performance optimization, and backend architecture within Mapping and potentially across GM AV. Help shape technical roadmaps and hiring plans for growing distributed systems expertise across the org. Minimum Qualifications (Must-Have) 5+ years of experience designing, implementing, and operating scalable distributed systems in production. Bachelors degree in related field or relevant work experience Strong proficiency in Python (optional C++, TypeScript), and system-level programming fundamentals. Deep understanding of databases, caching, data modeling, and service-oriented architecture (SOA). Proven experience building and deploying distributed systems on major cloud platforms such as Google Cloud, AWS, or Azure. Experience with data orchestration pipelines and ETL mechanisms (eg. airflow) BS, MS, or PhD in Computer Science, Electrical Engineering, or related technical field, or equivalent industry experience. Demonstrated success in leading cross-functional technical initiatives, influencing architectural decisions across teams, and mentoring senior engineers. Preferred Qualifications (Nice-to-Have) Experience with mapping, geospatial data, or robotics systems (e.g., Localization, Perception). Familiarity with autonomous vehicle software stack, including the map-data lifecycle and software safety standards. Experience in CI/CD pipeline design, large-scale deployment strategies, or cloud-native architecture. Proficiency with Linux systems, container orchestration (e.g., Docker, Kubernetes), and distributed logging/metrics systems. Knowledge of machine learning data pipelines or HD map labeling infrastructure. Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington. The salary range for this role: is $200,000 to $285,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies. This role is based remotely, but if the selected candidate lives within a specific mile radius of a GM hub, they will be expected to report to the location three times a week {or other frequency dictated by your manager}. This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate. About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

This role is based remotely but if you live within a 50-mile radius of [Austin, Detroit, Warren, Milford, Mountain View or Sunnyvale], you are expected to report to that location three times a week, at minimum. About Us The AI Cloud and Developer Infrastructure organization is responsible for delivering and maintaining the tools and services engineers here at GM use every day to do their best work and drive our cars forward. Tools and services we work on enhancing the entire development process of engineers at GM - how/where code is checked out, modified, compiled, tested, merged, and eventually deployed. Our goal is to ensure our AV engineers and others here have world class tools and a seamless development experience so that they can focus on the problems that matter most in their domain. The Role We are looking for a Principal Engineer with an extensive engineering background, experience using a variety of developer tools and technologies, and who is passionate about developer productivity. As a leader on this team, we are looking for someone who cares deeply about the technical development of other engineers on the team and can effectively balance the needs and priorities of the business, our users, and the growth of our engineers. This engineer will start delivering impact through observability frameworks and will evolve depending on business needs but they will be expected to identify high ROI investments with minimal guidance. What You'll Do (Responsibilities) Using your software and systems engineering skills to contribute code, perform code reviews, and create technical designs that improve performance and reliability of observability systems. Proactively identify and address challenges that create new opportunities to improve the state of engineering through observability. Partnering with Software Engineering teams to better understand use-cases and guide the engineers to use the existing tools effectively. Building tools to enable engineers to collect and act on observability signals from distributed cloud systems and on-vehicle sensors Influence the team's technical roadmap by evaluating new tools and technologies through PoCs and selecting roadmap investments that align with our team vision Drive software engineering best practices both within your team and across the AV organization, and create tooling which encourages these Guide the team to find the right balance between delivering impact and addressing technical debt Mentor and grow engineers on the team and across the organization Minimum Qualifications (Must-Have) 7+ years of experience or proven record of defining and executing technical strategy that required coordination across multiple teams, senior executives, and front-line engineers Bachelors Degree in Computer Science or related field OR equivalent work experience Experience driving consensus on a multi-functional effort using influence without authority Experience in designing and implementing large scale systems Considerable experience in working with container orchestration systems (eg. Kubernetes) Proficient in designing and developing sophisticated distributed systems, with expertise in one or more high-level programming languages such as Go, Python, Rust, C/C++, NodeJS or equivalent Considerable experience with Unix/Linux, SSH, and networking fundamentals Effective collaboration skills and experience researching, documenting, communicating, and defending proposals and taking and giving critical feedback Experience mentoring and growing junior engineers Preferred Qualifications (Nice-to-Have) Experience working with GCP, AWS, or Azure Familiarity with Kubernetes, Docker, Istio, Terraform, Prometheus, Grafana, TSDBs and observability pipelines (e.g. either for logging or metrics or tracing) Skilled in defining and instrumenting SLIs and SLOs Own or contribute to Open Source projects Passion for self-driving technology and its potential impact on the world Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington. The salary range for this role: is $280,000 to $385,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies. About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Ford's Electric Vehicles, Digital and Design (EVDD) team is charged with delivering the company's vision of a fully electric transportation future. EVDD is customer-obsessed, entrepreneurial, and data-driven and is dedicated to delivering industry-leading customer experience for electric vehicle buyers and owners. You'll join an agile team of doers pioneering our EV future by working collaboratively, staying focused on only what matters, and delivering excellence day in and day out. Join us to make positive change by helping build a better world where every person is free to move and pursue their dreams. You'll have... • Bachelor's degree in Computer Science, STEM, or equivalent professional experience. • 6+ years of experience in developer productivity engineering, DevOps, or related software infrastructure roles. • Strong scripting experience in Python and Bash with expertise in automation and infrastructure management. • Experience managing GitHub or GitLab replicas with deep understanding of Git internals and version control strategies. • Proficiency with containerization technologies including Docker, Podman, and Buildah for development and deployment workflows. • Hands-on experience implementing CI/CD pipelines with Jenkins, GitHub Actions, and GitLab CI. Even better, you may have... • Master's degree in Computer Science or other STEM focus areas with prior experience as an embedded software developer. • Experience with Android repo tools, Gerrit API, and advanced code review systems. • ELK stack (Elasticsearch, Logstash, Kibana) expertise for logging and monitoring of development infrastructure. • Infrastructure as Code experience with Terraform or Pulumi for scalable infrastructure management. • Experience with cloud platforms (AWS, Azure, GCP) and their DevOps services in enterprise environments. • Knowledge of security best practices for CI/CD pipelines and familiarity with microservices architecture and distributed systems. You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply! As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including: • Immediate medical, dental, vision and prescription drug coverage • Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more • Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more • Vehicle discount program for employees and family members and management leases • Tuition assistance • Established and active employee resource groups • Paid time off for individual and team community service • A generous schedule of paid holidays, including the week between Christmas and New Year's Day • Paid time off and the option to purchase additional vacation time. This position is a salary grade 8 level. For more information on salary and benefits, click here: ***************************** Visa sponsorship is available for this position. Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call **************. This position is hybrid. Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week. #LI-Hybrid #LI-MZ1 What you'll do... • Developer Infrastructure & Toolchain: Implement scalable CI/CD pipeline infrastructure, source code management systems, and repository mirroring solutions that enhance developer efficiency across the software development lifecycle. • Build Automation & Integration: Oversee the deployment and maintenance of build automation tooling, artifact repository systems, and containerization strategies for development and deployment environments. • System Administration & Optimization: Manage large-scale Artifactory instances, implement LDAP and SSO integration with development tools, and optimize system performance for high-availability developer infrastructure. • Monitoring & Security: Implement comprehensive monitoring and alerting systems for development infrastructure while ensuring security best practices across CI/CD pipelines and development tools. • Cross-Functional Collaboration: Work closely with development teams across geographies and time zones to identify productivity bottlenecks, gather requirements, and implement scalable solutions that improve the overall software development experience.

Role: As a Staff Software Engineer for Autonomy Evaluation within the Simulation and Testing organization, you will play a critical role in leading the strategy and execution of simulation-based validation efforts for autonomous vehicle development. On the Systems Engineering Team within the Simulation and Testing organization, your experience designing and implementing complex V&V strategies will enable you to quickly prototype, gain consensus, and move our programs forward with increased trust and efficiency. Your expertise will guide engineers in defining best practices and driving innovation in testing and verifying the safety and performance of autonomous systems in complex simulated environments. You will be responsible for shaping the future of our simulation capability requirements and ensuring robust validation methods are designed for meeting the testing needs of AI developers, systems engineering, and safety. About the Organization: The Simulation and Testing organization is dedicated to advancing the development of autonomous vehicles through cutting-edge simulation technologies. The Systems Engineering team within the Simulation and Testing org focuses on unlocking software launch and continuous release decisions via simulation verification and validation strategies, prototypes, and protocols. Our collaborative environment fosters innovation and excellence, allowing us to push the boundaries of what is possible in autonomous vehicle testing. What You'll Do: Develop and prototype comparative strategies to benchmark autonomy systems' performance. Create simulation evaluation methods to support decision-making in continuous release cycles. Define requirements and metrics for validating safe and comfortable Autonomous Vehicle operations. Analyze driving behaviors to inform system performance and influence the development of the autonomy stack. Mentor team members and facilitate cross-team collaboration to define simulation confidence metrics for new launches. Your Skills & Abilities: Advanced degree in Mechanical Engineering, Aerospace Engineering, Physics, Computer Science, Data Science, or related fields. 10+ years of experience in systems engineering, robotics, or data analysis. Proficient in SQL, Python, and C++ for analyzing large data sets. Strong analytical thinking skills with the ability to interpret data and derive impactful conclusions. Excellent communication skills, capable of switching between high-level and detailed discussions. What Will Give You A Competitive Edge: Experience in validating AI models, robotics, or autonomous vehicle development. Background in data engineering and familiarity with ETL software (e.g., DBT, Airflow). Experience in developing data visualizations using tools like Looker or Jupyter notebooks. Proven success in systems engineering for safety-critical products and familiarity with requirements management tools (e.g., Jama, DNG, DOORS). Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington. The salary range for this role is $165,000 to $253,200. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. Remote: This role is based remotely but if you live within a 50-mile radius of Atlanta, Austin, Detroit, Warren, Milford or Mountain View, you are expected to report to that location three times a week, at minimum. Relocation: This job may be eligible for relocation benefits. #LI-MH2 About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Role: The Smart Agents group is responsible for building the ML models and system to simulate road users in a variety of situations and generate the scenarios used for testing and training AV driving policies. If you think of Simulation as a video game our autonomous vehicles train on to learn to drive, the Smart Agents team develops the ML/AI models that control the other characters in the video game to interact in realistic ways as the av drives-eg, the other vehicles, bikers, and pedestrians. Our technology stack includes Generative AI models (GPT) and Reinforcement Learning (RL) policies. The Smart Agents group work closely with the rest of the Simulation, and our partners Behaviors, Perception, and Safety Engineers. The specific duties may include ML/RL model development as well as training loop development, streamlining optimization, integration, creating ML infrastructure, metrics, and data pipelines for production model deployment as well as for fast experimentation cycles. What You'll Do: Support the team in developing machine learning (ML) and reinforcement learning (RL) models, including training loop development and optimization. Streamline integration and create ML infrastructure, metrics, and data pipelines for production model deployment and rapid experimentation. Work as part of an ML team and contribute strong software engineering (SWE) expertise. Support the ML team in accelerating project timelines, particularly in areas related to Autopilot, Lane Keep, and autonomous vehicle (AV) technologies. Experience in simulation and robotics is highly desirable, with a preference for candidates from AV or robotics backgrounds rather than solely cloud-focused companies. Your Skills & Abilities: 4+ years of experience in the field of robotics or latency-sensitive backend services Background working with machine learning teams, algorithms, and models Bonus: Experience building highly performant ML and system pipelines Strong programming skills in modern C++ or Python Bonus: Experience with profiling CPU and/or GPU software, process scheduling, and prioritization Passionate about self-driving car technology and its impact on the world Expertise in setting architectures that are scalable, efficient, fault-tolerant, and are easily extensible allowing for changes overtime without major disruptions. Ability to design across multiple systems. Ability to both investigate in sophisticated areas as well as a good breadth of understanding of systems outside of your domain. Ability to wear several hats shifting between coding, design, technical strategy, and mentorship combined with excellent judgment on when to switch contexts to meet the greatest need. Track record in deploying perception/prediction/av models into real world environments Your Skills & Abilities: 4+ years of experience in the field of robotics or latency-sensitive backend services Proven experience in machine learning and classification. Familiar with ML frameworks such as Tensorflow or PyTorch Experience building highly performant ML and system pipelines Strong programming skills in modern C++ or Python Experience with profiling CPU and/or GPU software, process scheduling, and prioritization Passionate about self-driving car technology and its impact on the world Expertise in setting architectures that are scalable, efficient, fault-tolerant, and are easily extensible allowing for changes overtime without major disruptions. Ability to design across multiple systems. Ability to both investigate in sophisticated areas as well as a good breadth of understanding of systems outside of your domain. Ability to wear several hats shifting between coding, design, technical strategy, and mentorship combined with excellent judgment on when to switch contexts to meet the greatest need. Track record in deploying perception/prediction/av models into real world environments Experience working with RL and sequence prediction (ML) models Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington. The salary range for this role is $134,000 to $235,900. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. Remote: This role is based remotely but if you live within a 50-mile radius of Atlanta, Austin, Detroit, Warren, Milford or Mountain View, you are expected to report to that location three times a week, at minimum. Relocation: This job may be eligible for relocation benefits. #LI-MH2 This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}. About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world -- together. At Ford, we're all a part of something bigger than ourselves. Are you ready to change the way the world moves? Enterprise Technology plays a critical part in shaping the future of mobility. If you're looking for the chance to leverage advanced technology to redefine the transportation landscape, enhance customer experience and improve people's lives, this is the opportunity for you. Join us and challenge your IT expertise and analytical skills to help create vehicles that are as smart as you are. Join us at the forefront of Ford's digital transformation. The Industrial System Analytics team is solving some of the company's most challenging problems across Manufacturing, Supply Chain, Quality and Product Development, delivering AI/ML-driven applications and insights. This is your opportunity to architect the future, mentor the present, and code the backbone of Ford's Industrial System. In this position... As a Principal Software Engineer within the Global Industrial System Analytics organization, you will be a hands-on technical leader delivering working software. You will be responsible for design, development, and optimization of complex solutions for the Industrial System. You will solve complex, large-scale software engineering problems and build highly available, performant, and cost-effective solutions that power Ford's transformation of the Industrial System into a data-first, Analytics and AI-enabled organization. While not a people management role, you will actively contribute to hiring, onboarding, and mentoring top-tier engineering talent and act as a technical bar-raiser across the organization. This is an opportunity to leave your technical mark on a large team, influence team direction without management overhead, and help shape a high-performance engineering culture focused on secure, scalable, reliable and efficient software. Although this is listed as a remote position, we have a strong preference for a candidate who is available to work onsite in our Dearborn, MI office four days/ week. Relocation assistance may be available for qualified candidates. Responsibilities What you'll do... Technical Execution & Hands-On Delivery Lead the design and development of critical ISA platform features, complex application implementation, and write and drive reusable components across ISA Write production-grade code, perform system integration, and contribute directly to codebases to unblock teams and raise the engineering bar Drive performance tuning, reliability engineering, and capacity planning Engineering Leadership & Mentorship Lead by example in the areas of CI/CD, DevSecOps, infrastructure as code, and automated testing Mentor engineers through code reviews, design sessions, and informal technical leadership Innovation & Proof-of-Concepts Lead experimentation and prototyping efforts for emerging technologies and new capabilities and efficiencies (example - appropriate use of LLM for code generation) Translate non-functional requirements (e.g., security, scalability, compatibility, reliability) into actionable solutions Validate new technologies and patterns for scalability and performance prior to adoption with reference implementation Industrial System Architecture & Engineering Design and develop core ISA platform components across the Industrial system, supporting integration with the enterprise data platform and IT source systems Leverage GCP-native services (Cloud Run, Cloud Build, Pub/Sub, IAM, Secret Manager, etc.) to enhance security and automation Design and promote modular code structures, service boundaries, test-driven development and decoupled architecture patterns Establish and maintain high standards for operations excellence across applications, driving the right technologies for the right service level agreements Ensure application architecture is aligned with Enterprise architecture Technical Debt Management & Platform Maturity Identify and address technical debt aligned with Enterprise and GDIA technology transitions, balancing delivery with application health and maintainability Prioritize and drive modernization efforts that unlock developer productivity and efficiency Cross-Functional Collagboration Work closely with architects (e.g. Enterprise architects, Data platform architects), data platform principal engineers, AI Platform engineers, product managers, data scientists, security teams, and business stakeholders to ensure alignment with organizational goals Translate complex technical concepts into actionable, well-communicated engineering plans Qualifications You'll have... Bachelor's degree in Computer Science, Computer Engineering, Systems Engineering or equivalent combination of relevant education and experience. 8+ years of experience in software engineering or data platform development, including deep hands-on experience building and operating large-scale systems. Other skills to include: Expertise in one or more programming languages, Python and Java preferred, on large scale platforms Knowledge of DevSecOps Tools: GitHub Actions, GCP Cloud Build or Tekton, Terraform, SonarQube, etc. Experience with Cloud Architecture (preferably GCP): Modular Microservices, REST APIs and Serverless platforms like Cloud Run and Cloud Functions 5+ years of experience mentoring engineers and leading cross-team technical initiatives Even better, you may have... Master's Degree in Computer Science, Computer Engineering, Systems Engineering or related field GCP Professional Certifications (e.g. Professional Cloud Developer, Cloud Architect) Thought leadership through open-source contributions, blogs, or conference talks Deep expertise in multiple programming languages and full-stack development You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply! As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all the above? No matter what you choose, we offer a work life that works for you, including: Immediate medical, dental, and prescription drug coverage Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up childcare and more Vehicle discount program for employees and family members, and management leases Tuition assistance Established and active employee resource groups Paid time off for individual and team community service A generous schedule of paid holidays, including the week between Christmas and New Year's Day Paid time off and the option to purchase additional vacation time. For more information on salary and benefits, click here: ***************************** This position is leadership level 5. Visa sponsorship is not available for this position. Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call **************. This position is hybrid (onsite four days per week) for candidates who are in commuting distance to a Ford hub location or remote for non-local candidates. #LI- remote #LI-LA1

Remote: This role is based remotely but if you live within a 50-mile radius of Atlanta, Austin, Detroit, Warren, Milford, or Mountain View, you are expected to report to that location three times a week, at minimum. The Role We are looking for an exceptional and experience Staff Software Engineer who is excited about building mobile products across General Motors. You will be responsible for helping lead our engineering efforts through planning, design and architecture, execution, and ramp. As a technical leader on the team, you will be excited to help mentor less experienced engineers, build strong relationships with technical leaders on other teams, and facilitate a strong team culture. What You'll do Develop competency with all of our core Mobile technologies (client, framework, and services). Weigh architectural trade-offs and apply synchronous and asynchronous design patterns. Produce high quality software that is unit tested, code reviewed, and checked in regularly for continuous integration. Be a tech lead and will actively mentor other engineers on the team Explore and pitch product ideas and tech initiatives with cross functional teams. Initiate, plan, and execute large-scale, cross functional, and org-wide critical programs. Leverage your technical leadership to ensure we adhere to engineering best practices, and evangelize opportunities to improve engineering productivity and craftsmanship. Your Skills & Abilities (Required Qualifications) Bachelor's Degree in Computer Science or related field, or equivalent work experience. 7+ years of experience in Mobile development, native and preferably ReactNative. 7+ years of experience contributing to the architecture, documentation and design of new and existing systems (architecture, design patterns, reliability, and scaling). Experience working with multi-tier production software systems utilizing HTTP APIs (REST or GraphQL) and backend datastores (PostgreSQL, DynamoDB, Redis, or Elasticsearch). Demonstrated ability to understand the tech stack, debug code and tests. What Will Give You a Competitive Edge (Preferred Qualifications) Bachelor's Degree in Computer Science or related field, or equivalent work experience. 7+ years of experience in Mobile development, native and preferably ReactNative. 7+ years of experience contributing to the architecture, documentation and design of new and existing systems (architecture, design patterns, reliability, and scaling). Experience working with multi-tier production software systems utilizing HTTP APIs (REST or GraphQL) and backend datastores (PostgreSQL, DynamoDB, Redis, or Elasticsearch). Demonstrated ability to understand the tech stack, debug code and tests. Enthusiastic about the opportunity of impacting the engineering culture from the bottom up. Compensation : The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington. The salary range for this role is 165,000 - 298,800. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Benefits : Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. A company vehicle will be provided for this role with successful completion of a Motor Vehicle Report review. This job may be eligible for relocation benefits. About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

At General Motors, we are building on our long-standing legacy of innovation and leadership in advanced driving technologies, exemplified by our industry-leading hands-off driving system, Super Cruise . Our Autonomous Vehicles (AV) program is driven by a bold ambition to deliver expanded product portfolios that push the boundaries of safe, reliable autonomous and assisted driving experiences. Central to this mission is our Architecture and System Design team, a critical hub that operates at the intersection of requirement definition, architecture and system design, integration, and validation across the AV organization. This team ensures a cohesive and robust system architecture that enables seamless integration of our AV technologies and delivers the high standards of safety and performance our customers expect. We are seeking an experienced **Staff Systems Engineer** to lead systems engineering efforts for our embedded AV/ADAS platform. You will be responsible for defining and managing system-level requirements and architectures, optimizing resource allocation across computational and networking subsystems, and working closely with software and hardware teams to ensure seamless integration of vehicle platform components. This role is highly collaborative, strategic, and technical, influencing platform roadmaps and long-term technical direction. Key Responsibilities + Lead the end-to-end systems engineering for embedded autonomous vehicle (AV) and advanced driver-assistance systems (ADAS) platforms. + Define, document, and manage system-level requirements, ensuring traceability and alignment with product and safety goals. + Develop and maintain system architecture, balancing trade-offs in compute resources (CPU, GPU, NPU), memory (RAM), and communication bandwidth (Ethernet). + Perform system resource allocation, profiling, and optimization to meet performance, power, latency, and reliability targets. + Collaborate cross-functionally with software architecture, firmware, hardware, validation, and vehicle integration teams to ensure cohesive system design and implementation. + Drive technical roadmap planning and contribute to strategic decisions on future platform capabilities and scalability. + Identify risks and develop mitigation strategies related to system integration and performance. + Mentor junior engineers and foster a culture of technical excellence and innovation within the team. Required Qualifications + Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, Systems Engineering, or a related technical discipline. Master's or PhD preferred. + Minimum 8+ years of systems engineering experience, ideally within embedded systems, automotive, robotics, or related industries. + Proven track record of leading system architecture design and resource allocation for complex embedded platforms. + Deep understanding of AV/ADAS domain including embedded computing platforms, sensor integration, and real-time constraints. + Strong expertise in system performance analysis and optimization, including CPU/GPU/NPU architectures, memory hierarchies, and network bandwidth management. + Experience with platform systems engineering: device power management, I/O, internal & external communication + Experience with edge compute SoC and MCU architectures. + Hands-on experience with system modeling, simulation tools, and requirements management frameworks. + Experience working with Ethernet-based automotive networks (e.g., Automotive Ethernet, TSN). + Familiarity with safety standards and practices (ISO 26262, ASPICE) is a plus. + Excellent communication skills and demonstrated ability to work effectively in cross-disciplinary teams. + Proven ability to navigate and solve problems characterized by high ambiguity Preferred Qualifications + Advanced degree (MS or PhD) with a focus on embedded systems, systems engineering, or related fields. + Experience with embedded Linux or RTOS environments in automotive or robotics applications. + Knowledge of AV software stacks, middleware, and sensor data processing pipelines. + Familiarity with system-level debugging, profiling, and telemetry tools. + Prior experience at a leading AV company or tier 1 automotive supplier. + Strong leadership skills with experience mentoring engineers and leading technical projects. + Understanding of power management and thermal constraints in embedded platforms. + Experience contributing to strategic technical roadmaps and platform evolution. **Hybrid:** This role is categorized as hybrid. This means the successful candidate is expected to report to the Warren Technical Center in Warren, MI OR the Sunnyvale Technical Center in Sunnyvale, CA three times per week, at minimum. **Remote:** This role is based remotely but if you live within a 50-mile radius of [Atlanta, Austin, Detroit, Warren, Milford, Sunnyvale or Mountain View], you are expected to report to that location three times per week, at minimum. **Compensation** **:** The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington. + The salary range for this role is $157,100 and $258,500. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. + Bonus Potential: An incentivepayprogram offers payouts based on company performance, job level, and individual performance. **Benefits:** GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. **Company Vehicle:** Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies." This role is based remotely, but if the selected candidate lives within a specific mile radius of a GM hub, they will be expected to report to the location three times a week {or other frequency dictated by your manager}. **About GM** Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. **Why Join Us** We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. **Benefits Overview** From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources (************************************************************* . **Non-Discrimination and Equal Employment Opportunities (U.S.)** General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire (********************************************* . **Accommodations** General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email (Careers.Accommodations@GM.com) us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: **Our Company (************************************************** **Our Culture** **How we hire (************************************************ Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. Explore our global locations (******************************************** We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM's Talent Community (beamery.com) (*********************************************** . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more. Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click "Apply Now" on the job posting of interest. The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

**Company Vehicle:** Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies The Safety Assurance for Effective Autonomous Driving Software (SAFE-ADS) department is part of the Global Product Safety, System, and Certification (GPSSC) organization at GM. This department serves as the central body for automated driving system (ADS) safety and brings together expertise from across the company to establish a comprehensive safety case. GM's vision is zero crashes, zero emissions, and zero congestion - AV safety is at the heart of driving forward this vision. **The Role** The AV Safety Strategy and Assessment team is seeking a technical leader with extensive experience in the full end to end development lifecycle for autonomous vehicle behaviors driven by artificial intelligence & machine learning models. As the AV Behavior and AI Safety Principal Engineer, you will need to stay current on industry best practices and standards and guide the development of GM's AV Behavior Validation and AI safety strategy. This technical leader role requires extensive experience leading the development and implementation of AV Behavior Validation methodologies across a broad range of L4 autonomous features. A successful candidate will also have extensive experience setting the AI safety strategy for engineering development teams that are focused on AI/ML and following through on implementation and validation of safe AI development and deployment practices. If you're passionate about safety, driving innovation through AI/ML and are a proven technical leader, this role offers an exciting opportunity to contribute to impactful projects in a dynamic team environment. As the AV Behavior and AI Safety Technical Lead, you will be responsible for working with our partners and customers to define safety strategies and targets for AI/ML based autonomous driving systems. You will connect deeply to understand their challenges and needs, collaborate on new machine learning solutions, assess the safety of existing production models and cloud environments, collaborate on proof of concepts for new generative AI solutions and provide safety guidance to a team of AI/ML developers. You will apply your experience with ISO 8800 and ISO 21448 to ensure we develop, deploy and maintain safe AI/ML systems in simulation, on closed course and on public roads. **What You'll Do (Responsibilities)** + Referencing ISO 8800, ISO 21448 and AV industry best practices, develop the strategy for ensuring safe AI/ML and autonomous system development, deployment and maintenance. + Work with software, data science and systems engineering teams to ensure GM safely trains new machine learning models to enable autonomous systems. + Ensure continuity of safety as we enhance existing machine learning models to increase performance. + Set the safety standard for how we prototype, test and deploy new AI solutions, including Generative AI + Set the strategy for testing and validation of data sets and develop an assurance plan. + Set the strategy for how we systematically break down operational design domain components and driving behavior components and how these are validated in aggregate and on a per behavior level. + Work with data science, systems engineering and software teams to set the strategy for how we establish safety launch targets across vehicle behaviors and in aggregate + Setup an assurance process to validate launch targets have been achieved **Your Skills & Abilities (Required Qualifications)** + Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field + 7+ years of experience in machine learning, engineering, data science, or a related field + 7+ years in autonomous vehicle or robotics development or related field + Looking for Extensive Experience in the following: + **Machine Learning & AI Safety:** ISO 8800, ISO 21448 and other applicable industry standards and best practices for autonomous vehicles, aerospace and/or robotics. + **Validation of AI Driven Autonomous Systems:** Setting the strategy for E2E validation using techniques appropriate to validate AI models + **Programming & Frameworks** : **Python** , R, Java, PySpark, PyTorch, TensorFlow, Scikit-learn, LangChain, SQL + - **Machine Learning & AI** : Large Language Models (LLMs), Generative AI, RAG, Deep learning, Reinforcement Learning, Natural Language Processing (NLP), SVM, XGBoost, Random Forest, Decision Trees, Clustering + **Cloud & Big Data Platforms: (Preferred** Microsoft Azure (Data Lake, Machine Learning, Databricks)), **Nice to Have** (AWS (S3, SageMaker, Bedrock) or Google Cloud Platform (BigQuery, Dataflow, AI Platform) ) + **Deployment & MLOps:** **MLflow** , Model Monitoring & Versioning, Docker & Kubernetes, **GitHub** , Jira + **Data Analysis & Visualization** : Tableau, PowerBI, Pandas, NumPy + Proven track record providing technical safety leadership in AI/ML and AV development + Excellent communication and collaboration skills, with the ability to work effectively in a team environment + Strong problem-solving mindset and a proactive attitude towards learning and self-improvement **What Will Give You A Competitive Edge (Preferred Qualifications)** + Masters Degree in Computer Science, Engineering, Mathematics or related field + Extensive NLP solutions from business problem statement to deployment and ongoing optimization + Expertise with Large Language Models solutions from business problem statement to cloud deployment that have provided significant incremental business value + Experience with generative AI solutions that you have developed and deployed into a production environment that have provided significant incremental business value + Experience leading a team of data scientists to exceed customer expectations **Compensation:** + The expected base compensation for this role is $227,800- $349,600 USD Annually + Actual base compensation within the identified range will vary based on factors relevant to the position + Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance **Benefits:** GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. This role is categorized as remote. This means the selected candidate may be based anywhere in the country of work and is not expected to report to a GM worksite unless directed by their manager. This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate. **About GM** Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. **Why Join Us** We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. **Benefits Overview** From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources (************************************************************* . **Non-Discrimination and Equal Employment Opportunities (U.S.)** General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire (********************************************* . **Accommodations** General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email (Careers.Accommodations@GM.com) us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: **Our Company (************************************************** **Our Culture** **How we hire (************************************************ Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. Explore our global locations (******************************************** We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM's Talent Community (beamery.com) (*********************************************** . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more. Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click "Apply Now" on the job posting of interest. The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

_This role is based remotely but if you live within a 50-mile radius of [Austin, Detroit, Warren,_ _Milford,_ _Mountain View or Sunnyvale], you are expected to report to that location three times a week, at minimum._ **About Us** The AI Cloud and Developer Infrastructure organization is responsible for delivering and maintaining the tools and services engineers here at GM use every day to do their best work and drive our cars forward. Tools and services we work on enhancing the entire development process of engineers at GM - how/where code is checked out, modified, compiled, tested, merged, and eventually deployed. Our goal is to ensure our AV engineers and others here have world class tools and a seamless development experience so that they can focus on the problems that matter most in their domain. **The Role** We are looking for a Principal Engineer with an extensive engineering background, experience using a variety of developer tools and technologies, and who is passionate about developer productivity. As a leader on this team, we are looking for someone who cares deeply about the technical development of other engineers on the team and can effectively balance the needs and priorities of the business, our users, and the growth of our engineers. This engineer will start delivering impact through observability frameworks and will evolve depending on business needs but they will be expected to identify high ROI investments with minimal guidance. **What** **You'll** **Do (Responsibilities)** + Using your software and systems engineering skills to contribute code, perform code reviews, and create technical designs that improve performance and reliability of observability systems. + Proactively identify and address challenges that create new opportunities to improve the state of engineering through observability. + Partnering with Software Engineering teams to better understand use-cases and guide the engineers to use the existing tools effectively. + Building tools to enable engineers to collect and act on observability signals from distributed cloud systems and on-vehicle sensors + Influence the team's technical roadmap by evaluating new tools and technologies through PoCs and selecting roadmap investments that align with our team vision + Drive software engineering best practices both within your team and across the AV organization, and create tooling which encourages these + Guide the team to find the right balance between delivering impact and addressing technical debt + Mentor and grow engineers on the team and across the organization **Minimum Qualifications (Must-Have)** + 7+ years of experience or proven record of defining and executing technical strategy that required coordination across multiple teams, senior executives, and front-line engineers + Bachelors Degree in Computer Science or related field OR equivalent work experience + Experience driving consensus on a multi-functional effort using influence without authority + Experience in designing and implementing large scale systems + Considerable experience in working with container orchestration systems (eg. Kubernetes) + Proficient in designing and developing sophisticated distributed systems, with expertise in one or more high-level programming languages such as Go, Python, Rust, C/C++, NodeJS or equivalent + Considerable experience with Unix/Linux, SSH, and networking fundamentals + Effective collaboration skills and experience researching, documenting, communicating, and defending proposals and taking and giving critical feedback + Experience mentoring and growing junior engineers **Preferred Qualifications (Nice-to-Have)** + Experience working with GCP, AWS, or Azure + Familiarity with Kubernetes, Docker, Istio, Terraform, Prometheus, Grafana, TSDBs and observability pipelines (e.g. either for logging or metrics or tracing) + Skilled in defining and instrumenting SLIs and SLOs + Own or contribute to Open Source projects + Passion for self-driving technology and its potential impact on the world **Compensation:** The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington. + **The salary range for this role:** is $280,000 to $385,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. + **Bonus Potential:** An incentive pay program offers payouts based on company performance, job level, and individual performance. + **Benefits:** GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies. **About GM** Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. **Why Join Us** We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. **Benefits Overview** From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources (************************************************************* . **Non-Discrimination and Equal Employment Opportunities (U.S.)** General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire (********************************************* . **Accommodations** General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email (Careers.Accommodations@GM.com) us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: **Our Company (************************************************** **Our Culture** **How we hire (************************************************ Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. Explore our global locations (******************************************** We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM's Talent Community (beamery.com) (*********************************************** . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more. Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click "Apply Now" on the job posting of interest. The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

**Role:** As a Principal Staff Artificial Intelligence Engineer within the Simulation and Testing organization, you will play a critical role in leading the strategy and execution of simulation-based validation efforts for autonomous vehicle development. Your expertise will guide a team of engineers in defining best practices and driving innovation in testing and verifying the safety and performance of autonomous systems in complex simulated environments. You will be responsible for shaping the future of our simulation capabilities and ensuring robust validation methods are implemented effectively. **About the Organization:** The Simulation and Testing team is dedicated to advancing the development of autonomous vehicles through cutting-edge simulation technologies. We focus on creating realistic and challenging test scenarios that enable comprehensive evaluation of autonomous systems. Our collaborative environment fosters innovation and excellence, allowing us to push the boundaries of what is possible in autonomous vehicle testing. **What You'll Do:** + Lead the design, development, and implementation of simulation-based validation strategies for autonomous systems, ensuring safety and performance metrics are met. + Guide and mentor a team of engineers, fostering a culture of innovation and excellence in simulation methodologies. + Define and implement robust validation methods and sophisticated evaluation strategies within simulation frameworks, including the creation of challenging test scenarios and analysis of results at scale. + Collaborate cross-functionally with teams involved in autonomous system development to ensure seamless integration of simulation testing into the overall development process. + Influence technical roadmaps and strategic priorities, aligning simulation efforts with company objectives and product milestones. **Your Skills & Abilities (Required Qualifications):** + Master's in Robotics, Computer Science, Engineering, or a related technical field. + 10 years of extensive experience in simulation and testing, preferably within the autonomous vehicle domain. + Proven track record in developing or testing large-scale Machine Learning (ML) systems, with a strong understanding of simulation platforms and methodologies. + Direct experience leveraging LLMs/VLMs/etc. for production workflows. + Experience with the entire machine learning lifecycle from data generation and curation through model training through model deployment. + Hands-on expertise in implementing robust validation methods and evaluation strategies, including defining relevant metrics and correlating simulation performance with real-world behavior. + Strong software engineering skills, particularly in programming languages relevant to simulation and testing. + Excellent communication, collaboration, and mentoring abilities, with a passion for driving innovation in autonomous technology. **What Can Give You a Competitive Edge (Preferred Qualifications):** + Ph.D. in Robotics, Computer Science, Engineering, or a related technical field. + 15 years of extensive experience in simulation and testing, preferably within the autonomous vehicle domain. **Compensation** **:** The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area. + The salary range for this role is $193,000 - $296,600. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. + Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. **Benefits:** GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. **Company Vehicle:** Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies." **Remote:** This role is based remotely but if you live within a 50-mile radius of [Atlanta, Austin, Detroit, Warren, Milford or Mountain View], you are expected to report to that location three times a week, at minimum. **This job may be eligible for relocation benefits.** \#LI-DO1 **About GM** Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. **Why Join Us** We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. **Benefits Overview** From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards Resources (************************************************************* . **Non-Discrimination and Equal Employment Opportunities (U.S.)** General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire (********************************************* . **Accommodations** General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email (Careers.Accommodations@GM.com) us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: **Our Company (************************************************** **Our Culture** **How we hire (************************************************ Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. Explore our global locations (******************************************** We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM's Talent Community (beamery.com) (*********************************************** . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more. Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click "Apply Now" on the job posting of interest. The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

_Remote: This role is based remotely but if you live within a 50-mile radius of Mountain View, you are expected to report to that location three times a week, at minimum._ **The Role: ** We are seeking an experienced Staff full stack engineer with a strong ability to execute hands-on technical work. The AI Lifecycle Team provides the UX backbone and visualization products that Machine Learning Engineers use to shepherd their ideas from data collection to model deployment in the AV. We enable MLEs at Cruise to Run and debug ML pipelines, Initiate data collection, Manage model training, Evaluate model performance, Deploy models to the AV. As a Staff Full Stack Engineer, you will collaborate closely with machine learning engineers, research scientists, and other partners to develop state-of-the-art AI solutions that enable the future of intelligent driving technologies across General Motors vehicles. **What** **You'll** **Do:** + Build UX experiences and agentic workflows to improve MLE workflows and productivity + Build backend integrations to provide unified experience across ML lifecycle + Raise the bar on system observability, debuggability, and operational excellence, and user experience. + Own and drive the design and architecture across the ecosystem that meets security and compliance standards + Establish consistent metrics to measure platform performance & health and create the roadmap for scale, reliability, low latency and speed of development and deployment + Partner with cross functional teams to understand requirements to design, architect and build framework of UX and backend integrations. Partner with engineering teams to ensure seamless end-to-end flow and data quality + Work across the project lifecycle: requirements, design, prototype, implementation, review, release, monitoring + Review and approve technical design documents and pull requests. Improve and enhance engineering systems documentation and development processes + Identify and pursue new paths of inquiry, innovation and challenge status quo + Develop and nurture technical talent within the team and recruiting **Your Skills & Abilities (Required Qualifications)** + At least 7+ years of experience building production-level frontend applications using React, Angular, WebGL or similar frameworks + Strong understanding of JavaScript/TypeScript and dynamic frontend fundamentals + Experience building, deploying, and operating high-availability services + Led large technical initiatives from idea to operationalization and continuous evolution of technical solution to enable new business capabilities and improve efficiencies + Ability to identify broad challenges (technical, functional, business challenges) worth tackling, and parse them into initiatives within and across engineering teams + Experience creating ground up enterprise architecture, systems architecture, integration architecture standards, frameworks, and practices + Programming experience in Python, Java, Go + Experience working with cloud infrastructure, automations, configuration management, artifact management and building advanced CI/CD solutions **Compensation:** The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington. + The salary range for this role is $180,500 to $241,500. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. + Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. + Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. **Benefits:** + Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. **Relocation:** This job may be eligible for relocation benefits. **About GM** Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. **Why Join Us** We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. **Benefits Overview** From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources (************************************************************* . **Non-Discrimination and Equal Employment Opportunities (U.S.)** General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire (********************************************* . **Accommodations** General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email (Careers.Accommodations@GM.com) us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: **Our Company (************************************************** **Our Culture** **How we hire (************************************************ Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. Explore our global locations (******************************************** We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM's Talent Community (beamery.com) (*********************************************** . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more. Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click "Apply Now" on the job posting of interest. The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

**Role:** As a Staff Software Engineer for Autonomy Evaluation within the Simulation and Testing organization, you will play a critical role in leading the strategy and execution of simulation-based validation efforts for autonomous vehicle development. On the Systems Engineering Team within the Simulation and Testing organization, your experience designing and implementing complex V&V strategies will enable you to quickly prototype, gain consensus, and move our programs forward with increased trust and efficiency. Your expertise will guide engineers in defining best practices and driving innovation in testing and verifying the safety and performance of autonomous systems in complex simulated environments. You will be responsible for shaping the future of our simulation capability requirements and ensuring robust validation methods are designed for meeting the testing needs of AI developers, systems engineering, and safety. **About the Organization:** The Simulation and Testing organization is dedicated to advancing the development of autonomous vehicles through cutting-edge simulation technologies. The Systems Engineering team within the Simulation and Testing org focuses on unlocking software launch and continuous release decisions via simulation verification and validation strategies, prototypes, and protocols. Our collaborative environment fosters innovation and excellence, allowing us to push the boundaries of what is possible in autonomous vehicle testing. **What You'll Do:** + Develop and prototype comparative strategies to benchmark autonomy systems' performance. + Create simulation evaluation methods to support decision-making in continuous release cycles. + Define requirements and metrics for validating safe and comfortable Autonomous Vehicle operations. + Analyze driving behaviors to inform system performance and influence the development of the autonomy stack. + Mentor team members and facilitate cross-team collaboration to define simulation confidence metrics for new launches. **Your Skills & Abilities:** + Advanced degree in Mechanical Engineering, Aerospace Engineering, Physics, Computer Science, Data Science, or related fields. + 10+ years of experience in systems engineering, robotics, or data analysis. + Proficient in SQL, Python, and C++ for analyzing large data sets. + Strong analytical thinking skills with the ability to interpret data and derive impactful conclusions. + Excellent communication skills, capable of switching between high-level and detailed discussions. **What Will Give You** **A** **Competitive Edge:** + Experience in validating AI models, robotics, or autonomous vehicle development. + Background in data engineering and familiarity with ETL software (e.g., DBT, Airflow). + Experience in developing data visualizations using tools like Looker or Jupyter notebooks. + Proven success in systems engineering for safety-critical products and familiarity with requirements management tools (e.g., Jama, DNG, DOORS). **Compensation** **:** The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington. + The salary range for this role is $165,000 to $253,200. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. + Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. + Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. **Remote:** This role is based remotely but if you live within a 50-mile radius of Atlanta, Austin, Detroit, Warren, Milford or Mountain View, you are expected to report to that location three times a week, at minimum. **Relocation:** This job may be eligible for relocation benefits. \#LI-MH2 **About GM** Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. **Why Join Us** We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. **Benefits Overview** From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources (************************************************************* . **Non-Discrimination and Equal Employment Opportunities (U.S.)** General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire (********************************************* . **Accommodations** General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email (Careers.Accommodations@GM.com) us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: **Our Company (************************************************** **Our Culture** **How we hire (************************************************ Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. Explore our global locations (******************************************** We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM's Talent Community (beamery.com) (*********************************************** . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more. Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click "Apply Now" on the job posting of interest. The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

**Role:** The Smart Agents group is responsible for building the ML models and system to simulate road users in a variety of situations and generate the scenarios used for testing and training AV driving policies. If you think of Simulation as a video game our autonomous vehicles train on to learn to drive, the Smart Agents team develops the ML/AI models that control the other characters in the video game to interact in realistic ways as the av drives-eg, the other vehicles, bikers, and pedestrians. Our technology stack includes Generative AI models (GPT) and Reinforcement Learning (RL) policies. The Smart Agents group work closely with the rest of the Simulation, and our partners Behaviors, Perception, and Safety Engineers. The specific duties may include ML/RL model development as well as training loop development, streamlining optimization, integration, creating ML infrastructure, metrics, and data pipelines for production model deployment as well as for fast experimentation cycles. **What You'll Do:** + Support the team in developing machine learning (ML) and reinforcement learning (RL) models, including training loop development and optimization. + Streamline integration and create ML infrastructure, metrics, and data pipelines for production model deployment and rapid experimentation. + Work as part of an ML team and contribute strong software engineering (SWE) expertise. + Support the ML team in accelerating project timelines, particularly in areas related to Autopilot, Lane Keep, and autonomous vehicle (AV) technologies. + Experience in simulation and robotics is highly desirable, with a preference for candidates from AV or robotics backgrounds rather than solely cloud-focused companies. **Your Skills & Abilities:** + 4+ years of experience in the field of robotics or latency-sensitive backend services + Background working with machine learning teams, algorithms, and models + Bonus: Experience building highly performant ML and system pipelines + Strong programming skills in modern C++ or Python **Bonus:** + Experience with profiling CPU and/or GPU software, process scheduling, and prioritization + Passionate about self-driving car technology and its impact on the world + Expertise in setting architectures that are scalable, efficient, fault-tolerant, and are easily extensible allowing for changes overtime without major disruptions. + Ability to design across multiple systems. Ability to both investigate in sophisticated areas as well as a good breadth of understanding of systems outside of your domain. + Ability to wear several hats shifting between coding, design, technical strategy, and mentorship combined with excellent judgment on when to switch contexts to meet the greatest need. + Track record in deploying perception/prediction/av models into real world environments **Your Skills & Abilities** **:** + 4+ years of experience in the field of robotics or latency-sensitive backend services + Proven experience in machine learning and classification. Familiar with ML frameworks such as Tensorflow or PyTorch + Experience building highly performant ML and system pipelines + Strong programming skills in modern C++ or Python + Experience with profiling CPU and/or GPU software, process scheduling, and prioritization + Passionate about self-driving car technology and its impact on the world + Expertise in setting architectures that are scalable, efficient, fault-tolerant, and are easily extensible allowing for changes overtime without major disruptions. + Ability to design across multiple systems. Ability to both investigate in sophisticated areas as well as a good breadth of understanding of systems outside of your domain. + Ability to wear several hats shifting between coding, design, technical strategy, and mentorship combined with excellent judgment on when to switch contexts to meet the greatest need. + Track record in deploying perception/prediction/av models into real world environments + Experience working with RL and sequence prediction (ML) models **Compensation** **:** The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington. + The salary range for this role is $134,000 to $235,900. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. + Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. + Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. **Remote:** This role is based remotely but if you live within a 50-mile radius of Atlanta, Austin, Detroit, Warren, Milford or Mountain View, you are expected to report to that location three times a week, at minimum. **Relocation:** This job may be eligible for relocation benefits. \#LI-MH2 This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}. **About GM** Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. **Why Join Us** We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. **Benefits Overview** From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources (************************************************************* . **Non-Discrimination and Equal Employment Opportunities (U.S.)** General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire (********************************************* . **Accommodations** General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email (Careers.Accommodations@GM.com) us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: **Our Company (************************************************** **Our Culture** **How we hire (************************************************ Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. Explore our global locations (******************************************** We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM's Talent Community (beamery.com) (*********************************************** . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more. Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click "Apply Now" on the job posting of interest. The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

_This role is based remotely but if you live within a 50-mile radius of [Austin, Detroit, Warren,_ _Milford,_ _Mountain View, Sunnyvale], you are expected to report to that location three times a week, at minimum._ **About Us** We're on a mission to build the world's most advanced self-driving vehicles to safely connect people to the places, things, and experiences they care about. At GM's Autonomous Vehicle (AV) organization, we're combining cutting-edge research, robust engineering, and large-scale systems to make this future a reality. Our team is developing national-scale, next-generation mapping systems from the ground up-combining robust backend infrastructure with intuitive, performant user interfaces. **The Role** We are looking for a **Staff Software Engineer** with deep expertise in **distributed backend** **systems** to join our **Mapping Engineering** team. You'll serve as a technical leader responsible for designing and building the scalable systems that power ingestion, storage, access, and delivery of autonomous vehicle maps. You'll partner closely with EMs, Staff/Principal ICs, and cross-functional teams to define the architecture and deliver next gen mapping capabilities that scale to national deployments. This is a hands-on leadership role requiring strong systems thinking, architecture design, and the ability to guide and mentor engineers across teams. You'll operate autonomously, lead cross-functional technical initiatives, and ensure the health, scalability, and performance of our critical mapping pipelines and services. **What You'll Do (Responsibilities)** + Architect and implement scalable, reliable, distributed backend systems to support national-scale mapping. + Design and evolve data pipelines and microservices for map ingestion, transformation, storage, and release. + Own end-to-end delivery of high-impact projects, including defining milestones, aligning stakeholders, and mentoring ICs across functions. + Collaborate cross-functionally with Localization, Perception, Simulation, and Offboard teams to define data contracts and ensure system interoperability. + Drive technical excellence by conducting system-level design reviews, mentoring engineers, and setting the standard for code quality, testing, and documentation. + Diagnose and resolve large-scale system issues across services, data pipelines, and production environments. + Serve as the Subject Matter Expert (SME) in distributed system design, performance optimization, and backend architecture within Mapping and potentially across GM AV. + Help shape technical roadmaps and hiring plans for growing distributed systems expertise across the org. **Minimum Qualifications (Must-Have)** + 5+ years of experience designing, implementing, and operating scalable distributed systems in production. + Bachelors degree in related field or relevant work experience + Strong proficiency in Python (optional C++, TypeScript), and system-level programming fundamentals. + Deep understanding of databases, caching, data modeling, and service-oriented architecture (SOA). + Proven experience building and deploying distributed systems on major cloud platforms such as Google Cloud, AWS, or Azure. + Experience with data orchestration pipelines and ETL mechanisms (eg. airflow) + BS, MS, or PhD in Computer Science, Electrical Engineering, or related technical field, or equivalent industry experience. + Demonstrated success in leading cross-functional technical initiatives, influencing architectural decisions across teams, and mentoring senior engineers. **Preferred Qualifications (Nice-to-Have)** + Experience with mapping, geospatial data, or robotics systems (e.g., Localization, Perception). + Familiarity with autonomous vehicle software stack, including the map-data lifecycle and software safety standards. + Experience in CI/CD pipeline design, large-scale deployment strategies, or cloud-native architecture. + Proficiency with Linux systems, container orchestration (e.g., Docker, Kubernetes), and distributed logging/metrics systems. + Knowledge of machine learning data pipelines or HD map labeling infrastructure. **Compensation:** The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington. + **The salary range for this role:** is $200,000 to $285,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. + **Bonus Potential:** An incentive pay program offers payouts based on company performance, job level, and individual performance. + **Benefits:** GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies. This role is based remotely, but if the selected candidate lives within a specific mile radius of a GM hub, they will be expected to report to the location three times a week {or other frequency dictated by your manager}. This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate. **About GM** Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. **Why Join Us** We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. **Benefits Overview** From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources (************************************************************* . **Non-Discrimination and Equal Employment Opportunities (U.S.)** General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire (********************************************* . **Accommodations** General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email (Careers.Accommodations@GM.com) us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: **Our Company (************************************************** **Our Culture** **How we hire (************************************************ Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. Explore our global locations (******************************************** We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM's Talent Community (beamery.com) (*********************************************** . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more. Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click "Apply Now" on the job posting of interest. The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

**Remote:** This role is based remotely but if you live within a 50-mile radius of Atlanta, Austin, Detroit, Warren, Milford, or Mountain View, you are expected to report to that location three times a week, at minimum. **The Role** We are looking for an exceptional and experience **Staff Software Engineer** who is excited about building mobile products across General Motors. You will be responsible for helping lead our engineering efforts through planning, design and architecture, execution, and ramp. As a technical leader on the team, you will be excited to help mentor less experienced engineers, build strong relationships with technical leaders on other teams, and facilitate a strong team culture. **What You'll do** + Develop competency with all of our core Mobile technologies (client, framework, and services). + Weigh architectural trade-offs and apply synchronous and asynchronous design patterns. + Produce high quality software that is unit tested, code reviewed, and checked in regularly for continuous integration. + Be a tech lead and will actively mentor other engineers on the team + Explore and pitch product ideas and tech initiatives with cross functional teams. + Initiate, plan, and execute large-scale, cross functional, and org-wide critical programs. + Leverage your technical leadership to ensure we adhere to engineering best practices, and evangelize opportunities to improve engineering productivity and craftsmanship. **Your Skills & Abilities (Required Qualifications) ** + Bachelor's Degree in Computer Science or related field, or equivalent work experience. + 7+ years of experience in Mobile development, native and preferably ReactNative. + 7+ years of experience contributing to the architecture, documentation and design of new and existing systems (architecture, design patterns, reliability, and scaling). + Experience working with multi-tier production software systems utilizing HTTP APIs (REST or GraphQL) and backend datastores (PostgreSQL, DynamoDB, Redis, or Elasticsearch). + Demonstrated ability to understand the tech stack, debug code and tests. **What Will Give You a Competitive Edge (Preferred Qualifications) ** + Bachelor's Degree in Computer Science or related field, or equivalent work experience. + 7+ years of experience in Mobile development, native and preferably ReactNative. + 7+ years of experience contributing to the architecture, documentation and design of new and existing systems (architecture, design patterns, reliability, and scaling). + Experience working with multi-tier production software systems utilizing HTTP APIs (REST or GraphQL) and backend datastores (PostgreSQL, DynamoDB, Redis, or Elasticsearch). + Demonstrated ability to understand the tech stack, debug code and tests. + Enthusiastic about the opportunity of impacting the engineering culture from the bottom up. **_Compensation_** : The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington. + The salary range for this role is 165,000 - 298,800. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. + Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. **_Benefits_** **:** + Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. A company vehicle will be provided for this role with successful completion of a Motor Vehicle Report review. This job may be eligible for relocation benefits. **About GM** Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. **Why Join Us** We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. **Benefits Overview** From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources (************************************************************* . **Non-Discrimination and Equal Employment Opportunities (U.S.)** General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire (********************************************* . **Accommodations** General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email (Careers.Accommodations@GM.com) us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: **Our Company (************************************************** **Our Culture** **How we hire (************************************************ Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. Explore our global locations (******************************************** We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM's Talent Community (beamery.com) (*********************************************** . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more. Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click "Apply Now" on the job posting of interest. The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.