Design Release Engineer jobs at Ford Motor - 866 jobs

The Lead Application Security Engineer will partner with Security Engineering Enablement and Security Architecture to design and ship secure software: secure code reviews and help define requirements on prerelease control validation (SAST/DAST/SCA, API security, Container/IaC scans). Drive fix-first coaching-turn findings into clear remediation guidance and code examples, to help teams remediate security findings. The team is the Center of Excellence (COE) for Application Security, Web Application Firewalls and Cloud Security. In this capacity, the Lead AppSec Engineer can provide advice and guidance to teams in these areas to support the established standards and policies, in the form of Office Hours, Brown Bags or team consultation sessions. Primary Responsibilities: Operate, administer, and continuously improve our off the shelf AppSec and CloudSec tools (WAF infrastructure management, user onboarding, policy/config, integrations). Triage and disposition vulnerabilities across SAST/DAST/SCA/API/IaC/CSPM sources; lead false positive reviews and suppression/exception workflows with strong audit trails. Partner with Cloud Platform teams to harden AWS/Azure/GCP environments using CSPM/CNAPP controls, guardrails, and baselines; guide secure patterns for serverless, containers/Kubernetes, and secrets management. Support system administration, configuration, and maintenance for the AppSec/CloudSec/WAF toolset (identity/roles, agent health, connectors, backups, upgrades, and DR testing). Evaluate security tools on an ongoing basis, to ensure we are leveraging the best toolset that meets the enterprise's needs Serve as first-line triage for Responsible Disclosure submissions, reproduce issues, determine severity/impact, assign owners/SLAs, and track to closure. Ensure consistent communications with Responsible Disclosure reporters and internal stakeholders and maintain accurate records for compliance. Use scripting/automation (Python, PowerShell, Bash, REST APIs, Terraform modules, GitHub Actions/Azure DevOps/GitLab CI) for ad hoc fixes and to reduce toil (bulk policy changes, project provisioning, baseline exceptions, report consolidation). Stakeholder for helping design Secure Pipelines to be implemented by the Security Engineering Enablement team Minimum Qualifications: Bachelor's degree in a related discipline and 6 years' experience in a related field. The right candidate could also have a different combination, such as a master's degree and 4 years' experience; a Ph.D. and 1 year of experience; or 18 years' experience in a related field 2 years in Application / Product security or software engineering with a strong security focus. Hands on depth with modern SDLC/DevSecOps in cloud-native environments: microservices, APIs, containers/Kubernetes, serverless, IaC (Terraform/CloudFormation/ARM/Bicep), and CI/CD integration. Practical expertise operating and tuning SAST, DAST, SCA, API testing, IaC/container scanners, plus CNAPP for multi cloud. Scripting/automation proficiency (Python preferred; PowerShell/Bash nice) and REST API integration skills; able to create quick utilities and pipeline jobs to reduce manual effort. Strong knowledge of OWASP Top 10, ASVS, SAMM, NIST SSDF, CSA CCM, secure design patterns, cryptography fundamentals, authN/Z (OAuth2/OIDC/JWT), and common web/API vulns and mitigations. Experience triaging responsible disclosure or bug bounty reports and driving coordinated remediation with product teams. Excellent communicator who can simplify complex risk for engineers and leaders; bias to action and measurable outcomes. Familiarity with software supply chain security (SBOMs, signing, provenance, dependency risk) and runtime protection (RASP, WAF/WL, EDR for containers). Strong understanding of cloud architecture and infrastructure Collaborate with AI agents to build, test, and deploy software across the SDLC, by using proper contextual inputs to improve AI understanding and output quality. Implement AI-powered features and pipelines in our software Contribute to prompt engineering experimentation and share tool usage insights. Define coding standards, review practices, and ethical guidelines for AI use. Mentor peers and coach junior team members on AI-augmented development. Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship. No OPT, CPT, STEM/OPT or visa sponsorship now or in future. Preferred skills: WAF engineering experience (policy design, tuning, false positive management, bot/rate limit controls, logging/observability, blue/green rollout). Certifications (e.g., CISSP, CSSLP, GWAPT, GCSA, GCP/AWS/Azure security) are a plus. Experience with API security (OWASP API Top 10), Proactive Threat Response, Responsible Disclosure workflows is a plus. USD 122,600.00 - 204,400.00 per year Compensation: Compensation includes a base salary of $122,600.00 - $204,400.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program. Benefits: The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company's needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave.

About Us Rivian and Volkswagen Group Technologies is a joint venture between two industry leaders with a clear vision for automotive's next chapter. From operating systems to zonal controllers to cloud and connectivity solutions, we're addressing the challenges of electric vehicles through technology that will set the standards for software-defined vehicles around the world. The road to the future is uncharted. By combining our expertise across connectivity, AI, security and more, we'll map a new way forward. Working together, we'll create a future that's more connected, more intelligent, more sustainable for everyone. Role Summary The Product Security team develops and implements security protection into the vehicle and supporting infrastructure. We are involved in the full chain of security from defining the requirements, planning software and hardware security, developing, deploying, and maintaining security protections. As a Product Security Infrastructure engineer, this person will develop and scale services and infrastructure that are critical security components for vehicle manufacture and operation. This engineer will help develop security critical services according to cloud native best practices and help us ensure that we are developing services in a way that will limit technical debt and toil. When performing these responsibilities, this person will be working closely with multiple functionalities, Safety, Privacy, IT, OT, and SRE teams. This role can be located at one of our California locations in Irvine, CA or Palo Alto, CA and reports directly to the Sr. Manager, Product Security Infrastructure. Responsibilities Support, maintain, and improve in-house security critical services. Help meet and exceed scalability standards and demonstrate cloud native best practices. Help in the implementation of new and existing security services. Participate in team incident response/support processes. Mitigate vulnerabilities found or reported by internal and external parties by aligning with company's goals and objectives. Implement cybersecurity protections to comply with regulations and industry standards. Qualifications Bachelor's degree in Computer Science, Computer Engineering, or similar field, or equivalent experience. Experience using modern server-side programming languages such as go or python to develop web services. Working understanding of modern cryptography, cloud, and security best practices in service development. Experience in SRE, DevOps, DevSecOps or similar working with production services. Real world experience in any of the following: cloud native development, Kubernetes, open telemetry, reliability engineering, production engineering. Experience working with cross functionally with heterogenous engineering teams to ensure the reliability of security critical services. Experience working on projects from planning through completion. Pay Disclosure Salary Range/Hourly Rate for Palo Alto, California Based Applicants: $162,800 - 203,500 (actual compensation will be determined based on experience, location, and other factors permitted by law). Salary Range/Hourly Rate for Irvine, California Based Applicants: $149,800 - 187,200 (actual compensation will be determined based on experience, location, and other factors permitted by law). Benefits Summary Rivian and Volkswagen Group Technologies provides robust medical/Rx, dental and vision insurance packages for full-time and part-time employees, their spouse or domestic partner, and children up to age 26. Full Time Employee coverage is effective on the first day of employment. Part-Time employee coverage is effective the first of the month following 90 days of employment. Equal Opportunity Rivian and Volkswagen Group Technologies is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law. We are also committed to ensuring compliance with all applicable fair employment practice laws regarding citizenship and immigration status. Rivian and Volkswagen Group Technologies is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at candidateaccommodations@rivian.com. Candidate Data Privacy Rivian and VW Group Technologies (“Rivian and Volkswagen Group Technologies”) may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes (“Candidate Personal Data”). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian and Volkswagen Group Technologies may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; (vii) as otherwise required or permitted by applicable law. Rivian and Volkswagen Group Technologies may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian and Volkswagen Group Technologies affiliates; (iii) Rivian and Volkswagen Group Technologies' service providers, including providers of background checks, staffing services, and cloud services. Rivian and Volkswagen Group Technologies may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions. Please see our Candidate Data Privacy Notice (English) and Candidate Data Privacy Notice (Serbian) for more information. Please note that we are currently not accepting applications from third party application services. #J-18808-Ljbffr

A leading automotive company is seeking a Senior Software Simulation Validation Engineer in Sunnyvale, California. The role involves ensuring the quality and reliability of autonomous vehicle simulation platforms through hands-on coding and integration of metrics. Candidates should have a background in Python and C++, with experience in data analysis and robust communication skills. Enjoy innovative challenges in a collaborative environment. #J-18808-Ljbffr

A leading automotive technology firm is seeking a Product Security Infrastructure Engineer in California. This role involves developing and scaling security services critical for vehicle manufacturing and operation, aligning with cloud native best practices. The candidate will support in-house services, mitigate vulnerabilities, and ensure compliance with regulations. Ideal qualifications include a BS in Computer Science, experience with Go or Python, and familiarity with cloud and security best practices. #J-18808-Ljbffr

A leading automotive company in Mountain View is seeking an Early Career Machine Learning Engineer to develop cutting-edge AI systems for vehicle design and manufacturing. The role requires collaboration with senior engineers, and candidates must have a relevant PhD or Master's degree. Competitive salary range from $130,000 to $170,000, plus benefits including health programs and possible relocation assistance. #J-18808-Ljbffr

The Offline Driving Intelligence team is responsible for developing Foundation Models for prediction and planning, applying them both off-vehicle to provide ML capabilities to simulation and validation and on-vehicle to influence driving models. Our team collaborates closely with the Planner team to advance overall vehicle behavior. We also work closely with our Perception, Simulation, and Systems Engineering teams to accelerate our ability to validate our driving performance. As a Prediction and Planning Machine Learning Engineer you will work on the bleeding edge of the industry, developing novel machine learning pipelines and models to predict the behavior of other agents in the world and planning the best course of action for the ego vehicle. In this role, you will: Develop new deep learning models that use imitation learning and reinforcement learning to generate driving plans for our autonomous vehicle. You will also work on novel techniques to estimate the quality of those driving plans along the dimensions of safety, progress, comfort, compliance. Contribute to our large-scale machine learning infrastructure to discover new solutions and push the boundaries of the field Develop metrics and tools to analyze errors and understand improvements of our systems Collaborate with engineers on Perception, Planning, and Simulation to solve the overall Autonomous Driving problem in complex urban environments Qualifications PhD degree in Computer Science or related field +1 year of professional experience (top tier publications can remove the need for the year of experience) OR MSc +5y of professional experience in a relevant field. Experience in Planning and / or Prediction using Reinforcement Learning techniques Experience with training and deploying transformer-based model architectures Experience with production Machine Learning pipelines: dataset creation, training frameworks, metrics pipelines Fluency in C++ or Fluency in Python with a basic understanding of C++ Bonus Qualifications Top tier publications (NeurIPS, ICML, CVPR) $214,000 - $257,000 a year Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign‑on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long‑term care insurance, long‑term and short‑term disability insurance, and life insurance. #J-18808-Ljbffr

About us: Point One Navigation is building the future of precise location. Our mission is to deliver a unified location platform that enables autonomy, safety, and efficiency across industries from robotics to transportation. We are a high-performance, high-collaboration team that thrives on solving complex problems, moving fast, and delivering impact. The Role: We are seeking a Staff Engineer to join our Backend Services team. In this role, you will contribute to the architecture of our systems and develop services that support our global corrections network, real-time location services, and additional initiatives. Immediate Areas of Focus: Design, develop, and maintain robust backend services and network systems utilizing Go and Java. Prepare comprehensive systems design documentation, architectural decision records, and technical specifications. Participate actively in technical strategy development, architectural discussions, and roadmap planning for infrastructure advancements. Drive the optimization of performance and reliability for mission-critical, globally distributed systems. Collaborate with cross-functional teams to deliver complete solutions for real-time data processing and corrections delivery. Take ownership of key backend infrastructure components, overseeing their design, deployment, and ongoing monitoring. Qualifications: Minimum of 8 years of software engineering experience, with a focus on backend and network systems. Advanced proficiency in Java and Go for developing production systems. Production experience with distributed messaging systems such as Apache Kafka or RabbitMQ. Demonstrated ability to design complex distributed systems and produce detailed architectural documentation. Strong technical writing skills, with experience in creating systems design documentation. In-depth understanding of network protocols, distributed systems patterns, and high-availability architectures. Experience with microservices, real-time data processing, and scalable system design. Preferred Qualifications: Background in GNSS (Global Navigation Satellite Systems). Experience with gRPC clients and servers. Familiarity with PostGIS and geospatial data processing systems. Working knowledge of AWS services, Kubernetes, and cloud-native architectures. Experience with containerization, monitoring systems, and DevOps practices. Our Cultural Foundation At Point One, our cultural and operating design is built around one guiding principle: we must move with extreme speed and efficiency of effort to stay in a leadership position. This environment gives people a high level of autonomy and the ability to make a real impact. It also challenges every team member to grow - both professionally and personally. Because we focus on promoting from within rather than relying on external hiring, the opportunities for advancement are tremendous for those who seek them. That said, growth only comes from delivering in the present. What matters most is the job to be done today, not the job you want tomorrow. When we all focus on today's outcomes with excellence, the path to greater responsibility and growth naturally follows. We think about our culture in two dimensions: How We Show Up Every Day These are the behaviors we expect every team member to bring to work - the foundation of being a consummate, high-output teammate: Trust / Assume Best Intent - Trust allows us to move fast. When we start from trust, we spend no time second-guessing or looking for ulterior motives and thus focus all our energy on acting. High Output, Action Oriented - Our default posture is “yes.” We bias toward action and deliver results quickly, knowing that speed and efficiency compound into impact as we unblock others around us. Divine Discontent - We're never satisfied with the status quo and are self-motivated to improve ourselves, our work, and our company. We actively seek feedback in real-time to shorten improvement cycles. No Ego, One Team - Collaboration without ego creates leverage. When we win as one team, we eliminate friction and move faster together. Self Accountability - Taking ownership is the straightest line to learning, self-improvement, and correcting our course of action. And blaming others around us is a fast path to destroying trust. Operating Principles These are the systems and norms that amplify speed and efficiency at the company level: Edge Innovation - We bias toward action over approval. Experiment, decide, and move - failure is just a step toward faster learning. No Hierarchies - We practice self-prioritization and go direct to the source. Flattening layers reduces drag and maximizes autonomy. Customer Experience First - We optimize for the end-to-end customer outcome, not functional or departmental efficiency. This focus cuts waste, aligns priorities, and ensures we spend effort where it matters most. Location: SF Bay Area (Hybrid) / West Coast Working Hours required If this role sounds like a fit, we'd love to hear from you. Apply below and join us in shaping the future of precise location. #J-18808-Ljbffr

An automotive giant is seeking a Staff ML Engineer for their ML Compute Platform to scale backend services and contribute to AI infrastructure. Responsibilities include designing software components, improving system efficiency, and leading initiatives. Candidates should have 7+ years of experience and expertise in languages like Go, C++, or Python, as well as a solid background in distributed systems. Join a team that's transforming mobility and tackling complex engineering challenges with AI applications. #J-18808-Ljbffr

Work Arrangement: This role is categorized as hybrid. This means the successful candidate is expected to report to the office three times per week or any other frequency dictated by the business. About the Team: Our AI Research team, reporting directly to the Chief AI Officer, is pioneering how cutting-edge machine learning can transform the way vehicles are designed, manufactured, and experienced. We are building the next generation of intelligent systems-integrating multimodal foundation models, generative AI, robotics and predictive maintenance into real-world automotive innovation at global scale. The Role: As an Early Career Machine Learning Engineer, you will contribute to the development of end-to-end AI/ML systems that solve high-stakes problems in robotics and manufacturing at scale. You will work closely with senior engineers and researchers to design, prototype, and deploy state-of-the-art AI models with direct application to vehicle design, manufacturing operations, robotics, and simulation of physical systems. You will have the opportunity to translate cutting-edge research into production systems, collaborate with a world-class team of scientists and engineers, and grow your expertise while contributing to GM's AI research agenda and engaging with the broader AI community. What You'll Do: Adapt machine learning architectures for complex industrial applications, including computer vision, robotic manipulation, predictive maintenance, and process optimization Build end-to-end deep learning pipelines that handle multi-modal sensor data (vision, force/torque, proprioception, environmental sensors) Contribute to the development of foundation models and transfer learning frameworks that generalize across diverse industrial scenarios and equipment types Contribute to the development of data collection and annotation strategies to build high quality datasets for training and validating models in industrial settings Work with partner teams to translate technical requirements into ML solutions and support integration efforts Own the deployment and monitoring of ML models in production environments Publish research findings in top-tier venues (for example, NeurIPS, ICML, CVPR) and contribute to GM's presence in the research community Minimum Qualifications: Currently has, or is in the process of obtaining a PhD in the field of Computer Science, Machine Learning, or a related field (STEM focused), or a Master's degree with significant ongoing AI/ ML contributions. PhD Degree must be completed prior to joining General Motors Able to work full time, 40 hours per week What will give you a Competitive Edge (Preferred Qualifications): In depth knowledge about modern deep learning architectures-Transformers, Diffusion Models, CNNs and model training techniques at scale Strong hands-on experience with at least one of the popular AI/ML frameworks (PyTorch, Tensorflow, Keras or JAX) Experience with anomaly detection and predictive maintenance applications through course work, research or projects Experience with reinforcement learning for robotic control or process optimization through course work, research or projects Experience training multimodal deep learning models Demonstrated research contributions in AI/ML technologies through publication of PhD research in top‑tier conferences or journals Ability to formulate research questions from ambiguous problems and apply rigorous experimental methodology including hypothesis formation, evaluation, and statistical analysis Demonstrated track record of publications in top AI/ML conferences or patents demonstrating novel contributions to the field Strong programming skills in Python and familiarity with one or more of systems languages (C++/Java) 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 $130,000 - $170,,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. What you'll get from us (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 job may be eligible for relocation benefits. #J-18808-Ljbffr

**Job Description****Staff ML Engineer, ML Compute Platform****About the Team:**The ML Compute Platform is part of the AI Compute Platform organization within Infrastructure Platforms. Our team owns the cloud-agnostic, reliable, and cost-efficient compute backend that powers GM AI. We're proud to serve as the AI infrastructure platform for teams developing autonomous vehicles (L3/L4/L5), as well as other groups building AI-driven products for GM and its customers.We enable rapid innovation and feature development by optimizing for high-priority, ML-centric use cases. Our platform supports the training and deployment of state-of-the-art (SOTA) machine learning models with a focus on performance, availability, concurrency, and scalability. We're committed to maximizing GPU utilization across platforms while maintaining reliability and cost efficiency. **About the Role:**We are looking for a Staff Software Engineer to join our team and help us scale our platform for performance, reliability, and usability. You'll be responsible for building critical backend services, integrating with GPU hardware and orchestration systems, and driving improvements to both system architecture and user experience.This is a hands-on engineering role that requires a strong background in distributed systems, infrastructure, and a product mindset with a keen eye for user experience.**What you'll be doing:*** Design core platform backend software components* Experience cloud platforms like GCP, Azure* Thrive in a dynamic, multi-tasking environment with ever-evolving priorities. Interface with other teams to incorporate their innovations and vice versa* Analyze and improve efficiency, scalability, and stability of various system resources* Proactively identify, drive and design large initiatives across GM ML ecosystem**At a Minimum We'd Like You To Have*** 7+ years of industry experience* Expertise in either Go, C++, Python or other relevant coding languages* Strong background with kubernetes at scale* Relevant experience building large-scale with distributed systems* Experience leading and driving large scale initiatives* Experience working with Google Cloud Platform, Microsoft Azure, or Amazon Web Services**It's Preferred If You Have*** Hands-on experience in ML platforms* Experience with GPU/TPU optimizations* Experience with training frameworks like PyTorch, TorchX* Experience with Ray framework* Leadership/active participation in the open source community* Experience infrastructure applications or similar experience If you're excited to tackle some of today's most complex engineering challenges, see the impact of your work in real-world AV applications, and help shape the future of AI infrastructure at GM-this is the team for you. **Compensation:*** The expected base CA compensation for this role is: $198,900 - $304,800. Actual base compensation within the identified range will vary based on factors relevant to the position.* You also need to include general information about potential commissions, if applicable.**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 .**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 .**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.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.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 . 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. #J-18808-Ljbffr

The Role: We are seeking a Principal AI Engineer to lead the design and advancement of our AI platform. You will play a key role in shaping the infrastructure that powers large-scale training and cloud inference. This includes accelerating training throughput, scaling multi-modal models, and enabling the next generation of AI-driven driving systems. We're tackling challenges across distributed training, training efficiency, DDP/FSDP, data processing pipelines, and Pytorch model optimization. This is a highly impactful position where your technical leadership will define how we scale AI to achieve autonomy. What You'll Do: Architect, build, and optimize core AI/ML platform infrastructure to support massive-scale model training. Collaborate with data scientists, ML engineers, and software developers to enable seamless workflows from research to production. Drive efficiency in large-scale distributed training and data processing pipelines. Establish best practices for reliability, scalability, and performance across the AI/ML platform. Provide technical leadership and mentorship, guiding teams on platform design, architecture decisions, and emerging technologies. Partner with cross-functional stakeholders to align platform capabilities with business needs and strategic AI initiatives. Your Skills & Abilities (Required Qualifications): Bachelor's degree or higher in Computer Science, related field, or equivalent experience. 8+ years of professional software engineering experience. 4+ years of specialized experience in AI/ML domain (e.g., enabling distributed training for large-scale models). Strong programming skills in Python, with proficiency in frameworks such as PyTorch (preferred) or TensorFlow. Experience with distributed systems, GPU computing, and cloud environments (AWS, GCP, or Azure). Comfortable operating in highly ambiguous and dynamic environments. Willingness to travel to Sunnyvale, CA as needed. What Will Give You a Competitive Edge (Preferred Qualifications): Proven track record of self-motivation, execution, and delivering impact. Deep expertise with PyTorch 2.x+ and distributed training frameworks. Strong skills in profiling, analysis, debugging, and optimizing training performance (e.g., avoiding memory fragmentation, operation fusion). Proficiency in C++ for performance-critical components. Experience leading cross-functional projects and aligning diverse stakeholders on priorities. 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 $197,600 to $374,200. 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. Work Location: 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. #J-18808-Ljbffr

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, technically oriented, impact-driven expert in ML Training Infrastructure with a strong ability to execute hands-on technical work. In this role, you will be responsible for designing and building scalable, reliable, and high-performance AI/ML platform infrastructure to support advanced AI research and model development initiatives. As a Staff ML System 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: Lead the design and development of scalable, reliable, high-performance ML frameworks to support model training at scale. Lead model training performance analysis and optimization solutions to scale distributed training workflows, maximize resource utilization across heterogeneous hardware environments, and reduce costs. Enhance system observability, debuggability, operational excellence, and user experience. Collaborate with cross-functional teams to integrate new features and technologies into the platform. #J-18808-Ljbffr

A leading automotive manufacturer in the United States seeks a Senior Software Engineer for Data Science to develop scalable AI-driven solutions. This role focuses on improving vehicle quality and customer experience while collaborating with cross-functional teams. The ideal candidate has extensive experience in machine learning, strong proficiency in Python, and a Bachelor's degree in a relevant field. This position offers hybrid work options and competitive compensation. #J-18808-Ljbffr

An innovative automotive technology company is seeking a Software Engineer in Palo Alto, California, to develop tools for analyzing connected systems and telematics performance. The role involves creating insights from telematics data, building dashboards, and collaborating with engineering teams to ensure platform stability. Candidates should have a Bachelor's in a relevant field and 3+ years of experience, with a focus on data analysis and communication skills. This position offers a competitive salary range of $146,000 - $183,000. #J-18808-Ljbffr

A leading automotive technology company in Palo Alto is seeking a Software Engineer to develop in-vehicle applications focused on Android Auto. Candidates should have a Bachelor's in Computer Science and over 5 years of software development experience, primarily in Java and Kotlin. The role emphasizes collaboration with cross-functional teams to innovate user experiences in next-generation vehicles. A competitive compensation package is provided, with a salary range between $146,000 to $183,000 depending on experience. #J-18808-Ljbffr

A leading automotive technology company is seeking a Senior Android Developer to architect and develop consumer-facing software. You will design high-performance applications that contribute to the transition to electric vehicles, working in a collaborative and innovative environment. Ideal candidates have over 5 years of experience and expertise in Kotlin, Java, and C++. This role comes with competitive compensation and benefits in line with industry standards. #J-18808-Ljbffr

Worldwide, the Volkswagen Group has a long tradition of dramatic innovations. The Volkswagen Group with its headquarters in Wolfsburg, Germany is one of the world's leading automobile manufacturers and the largest carmaker in Europe. The Group comprises twelve brands from seven European countries: Volkswagen Passenger Cars, Audi, SEAT, ŠKODA, Bentley, Bugatti, Lamborghini, Porsche, Ducati, Volkswagen Commercial Vehicles, Scania and MAN. Brief Role Description At the Innovation & Engineering Center California (IECC), we represent the Volkswagen Group in applied research and development. Located in the heart of Silicon Valley, we create bold new ideas for the Volkswagen, Audi, Bentley, Lamborghini, Bugatti and Porsche brands. We're a team of engineers, designers, scientists, and psychologists looking to develop innovations for future generations of cars, and to transfer technologies from many industries and research institutions into the automotive domain. Our mission is to drive change which means we are not only impacting one of the world's largest car makers, but also the lives of millions of people. Are you ready to join us? Role Summary This role will be tasked with applying machine learning/deep learning to the automotive industry. Applications could include autonomous driving, manufacturing, design etc. This is more than a purely academic role - you will likely need to integrate the modules you build into real cars and also think about questions around testability and proving safety. Working in our facility requires a high level of independence and an ability to deal with lots of ambiguity. The incumbent will not be given clear cut projects - instead this individual and subsequent team will be responsible for coming up with the “next big thing” that nobody has thought of as yet, building it and selling it. To be considered, Candidates MUST have extensive experience in the following: Computer Vision, Deep Learning, forecasting, transformers, CNNs. You must also possess strong experience building data models. Possible Tasks within this Role Role Responsibilities Maintains, as well as furthers, enhances existing machine learning modules for autonomous vehicles. Designs and implements new machine learning based approaches based on existing frameworks. Keeps up to speed with the state of the art of academic research and technology in the industry. Coordinates with engineers at the ICC and in Germany on the development of autonomous driving software. Transfers technologies and solutions to Volkswagen Group deve #J-18808-Ljbffr

A leading automotive innovation center in California seeks an experienced professional to apply machine learning and deep learning techniques to innovative automotive solutions. This role requires independent thinking and the ability to handle ambiguity. Candidates must have a strong background in computer vision, data modeling, and integration into real-world applications. Join a dynamic team to shape the future of automotive technology. #J-18808-Ljbffr

The Chief Process Engineer, Operational Transformation Deployment, is a hands-on technical leader responsible for driving and implementing technical transformation efforts across all dedicated process areas within the Industrial System. This role provides comprehensive technical direction and oversight, ensuring cohesive development and implementation of process engineering solutions that drive significant and measurable improvements. They will lead and empower a team of dedicated process area leads, fostering collaboration, technical excellence, and the successful unification of transformation initiatives across the entire Industrial System. This role requires both deep understanding of operations and a hands-on approach to driving change. You'll Have... Industrial Systems Domain and Contextual Expertise: Profound understanding of key challenges and hands-on experience within the Industrial System process areas Hands-on Technical Leadership: Proven ability to provide direct technical leadership, guide implementation teams, and troubleshoot complex technical issues in an operational setting. Process Improvement, Problem-Solving & Analysis: Exceptional analytical skills for complex technical process improvement and problem-solving at the operational level, with a focus on practical, implementable solutions. Proficiency in mapping current and future state processes and identifying areas for improvement by identifying bottlenecks, inefficiencies, and root causes of performance gaps. Solution Design, Implementation & Execution: Strong skills in designing, building, implementing, and sustaining robust technical solutions that address specific operational pain points and deliver measurable improvements. Capable of fast-tracking and implementing changes directly impacting their specific operational unit. Collaboration & Communication: Excellent communication skills, capable of articulating complex technical details to both technical and non-technical stakeholders within the process area and across the organization. Ability to work effectively with cross-functional teams and stakeholders within the process area and across the organization to ensure project success and adoption Project Management: Ability to manage the technical aspects of transformation projects from conception to completion within a specific operational context, including technical scope, resources, and timelines. Ability to manage projects from inception to delivery, including planning, scheduling, and risk management. Adaptability & Agility: Ability to quickly adapt to the specific and evolving technical needs of the process area, driving agile and iterative technical development. Openness to iterations in project scope and ability to respond to specific, evolving needs of their business unit. Education & Experience: Bachelor's or Master's degree in Engineering (e.g., Industrial, Mechanical, Electrical, Software, Manufacturing), Computer Science, or a highly specialized technical field relevant to the business unit. 10+ years of hands-on technical leadership experience in operational excellence, continuous improvement, or business transformation within a specific industry or operational domain. Proven track record of designing and implementing significant technical improvements within a specific operational environment. Process Improvement and Problem Solving Certifications such as Lean Six Sigma Master Black Belt or equivalent are highly desirable What you receive in return… As part of the Ford family, you'll enjoy excellent compensation, and a comprehensive benefits package that includes generous PTO, retirement, savings and stock investment plans, incentive compensation, and much more. You'll also experience exciting opportunities for professional and personal growth and recognition. Our benefits summary can be found Here. 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 leadership level 4. 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 **************. Onsite work of up to three days per week may be required for candidates within commuting distance of a Ford hub location. #LI-Onsite #LI-MB3 You Will... Have experience in the following areas: End-to-End Process Initiative Optimization & Leadership: Oversee and guide the delivery of specific transformation initiatives from inception to delivery. Includes technical analysis, design, development, and implementation of operational transformation initiatives specific to the process area. Process Analysis & Optimization and Problem Solving: Provide technical oversight and guidance of the analysis of current operational processes and workflows, identification of bottlenecks, inefficiencies, and recommendation/implementation of specific process improvement by deep-diving technical investigations to diagnose complex operational issues, identifying root causes, and proposing innovative engineering-based solutions tailored to the process area. Solution Design & Implementation: Provide technical oversight and guidance of the design, implementation, and sustainment of new workflows, systems, and procedures tailored to the needs of the process area. Identify and apply advanced process engineering principles to improve efficiency, quality, and performance within the process area. Stakeholder Engagement (Local): Collaborate closely with specific process owners and key stakeholders and operations teams to ensure buy-in and successful adoption of changes and to integrate new solutions, ensure technical sustainability, and manage the technical change process within the process area. Training & Support (Local): Provide hands-on training and ongoing support to the teams directly impacted by the transformation. Mentor and develop talent within the dedicated transformation team, fostering a culture of transformation curiosity and continuous improvement. Performance Monitoring: Establish and monitor technical performance metrics and KPIs relevant to the business unit's operations, ensuring that the inefficiencies are quantified and that implemented solutions achieve desired outcomes and tangible results