Mechanical Systems Engineer jobs at Tesla - 991 jobs

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

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? 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. In this position... As a Senior Drive Unit Design engineer, you will be responsible for design and development of Ford's next generation EV drivetrains. You will work within the lubrication and cooling team developing production hardware. You will own hardware from concept to production with exposure to sourcing, validation, and ramp. #J-18808-Ljbffr

A leading automotive company is seeking a Senior Drive Unit Design Engineer to spearhead the design and development of next generation EV drivetrains. This role involves working within a lubrication and cooling team, owning hardware projects from concept to production, and requires a strong background in engineering. Join a team dedicated to creating a fully electric transportation future, delivering exceptional customer experience and driving positive change in the automotive industry. #J-18808-Ljbffr

The Role: Are you a creative and technical problem-solver with a passion for 3D graphics? Join our team of talented engineers and artists to build high-fidelity simulations that will be instrumental in developing safe and reliable self-driving cars. This role offers the rare opportunity to bridge the gap between artistic vision and engineering rigor. You'll work on complex, large-scale virtual environments, addressing critical fidelity and performance challenges that directly impact the safety and reliability of autonomous vehicles. Collaborate within a highly interdisciplinary team of world-class Artists, Engineers, and Research Scientists to redefine the boundaries of simulation technology, and create innovative tools, pipelines, and workflows for artists. What you'll do: 3D Asset Pipeline Development: Lead the development of a cutting-edge asset generation pipeline for our new real-time, GPU-based ray tracing engine, defining the foundational standards and conventions that will drive future advancements in photorealistic simulation. Content Authoring Tools: Integrate external Digital Content Creation tools such as Maya and Unreal Editor with our simulation and rendering stack. Build workflows to author assets for our USD based renderer. Rendering Optimization: Architect and implement advanced content authoring strategies to significantly reduce cloud compute costs, leveraging state-of-the-art techniques in geometry, material, shader, and texture optimization to achieve optimal performance. Performance Monitoring: Develop systems to validate and monitor asset fidelity and performance, actively analyzing realism perceived by computer vision models. Scripting and Automation: Develop tools and scripting APIs to automate the creation and management of assets. Tool Development: Assist artists and engineers via tool development, concept testing of new ideas, and building rapid prototypes. Collaboration: Work closely with engineers, designers, and researchers to understand testing requirements and translate them into effective simulation environments. Work hand in hand with Cruise Machine Learning Engineers to develop simulations that best test and train our ML Models. Quality Assurance: Provide front-line production support across multiple disciplines, troubleshoot assets and scenarios, and help artists with problem-solving. Triage and redirect problems to appropriate engineering teams. Your Skills and Abilities: 5+ years experience as a technical artist (or equivalent capacity) in visual effects, animation, simulators, 3D games, or other high-performance systems. Bachelor's degree or higher in Computer Science, specifically with a concentration or focus in Computer Graphics Proven experience creating Python scripts to streamline content creation Experience with C++ for performance critical engineering and software application development Strong 3D content pipeline knowledge with a deep understanding of modeling, texturing, animation, and lighting. Proficient with profiling tools to diagnose performance issues and identify how to optimize scenes. In-depth knowledge of real-time rendering including physically-based rendering (PBR) pipelines, shader authoring in MDL (or similar shader language) or shader graphs as well as shader performance profiling and optimization. What Will Give You A Competitive Edge: Demonstrated experience in generating high-quality synthetic data for machine learning model training and validation, with an understanding of its critical role in autonomous system development NVidia Optix, MDL, and USD experience is highly desirable Film or VFX Studio tools or Pipeline Engineer experience. Unreal Engine 4 experience with blueprints and material editor Maya experience A portfolio or reel, including a detailed breakdown of your work in each section. Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paidin accordance withapplicable state laws. The compensation may not be representative for positionslocatedoutside of New York, Colorado, California, or Washington. The salary range for this role is ($160,200 and $246,300). The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. 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, tuitionassistanceprograms, employeeassistanceprogram, GM vehicle discounts and more. #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

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

**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

A leading automotive company in San Francisco seeks a versatile technical artist to create high-fidelity simulations for autonomous vehicles. You will be responsible for developing advanced asset pipelines, integrating creative tools, and optimizing performance for complex virtual environments. The ideal candidate has over 5 years of experience in technical artistry and strong skills in Python and C++. This is an exciting opportunity to impact the future of self-driving technology. #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

MuleSoft Operations Engineer. We are looking for a MuleSoft Operations Engineer to join our team. This role is focused on keeping our MuleSoft integrations and APIs running smoothly in production, while driving automation to reduce manual effort. You Operations, Mulesoft, Engineer, Operation, Integration, Technology, Insurance

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.

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.

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.

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.

**Hybrid:** This role is categorized as hybrid. **Role:** As a Staff Systems Engineer on the Software Validation team within the AV organization, you will play a critical role in leading the strategy and execution of systems engineering and validation efforts for autonomous vehicle software. You will leverage your experience designing and implementing complex V&V strategies to quickly prototype, gain consensus, and move our programs forward with increased trust and efficiency. Your expertise will guide engineers in defining best practices, driving innovation in systems design, requirements development, and performance verification of autonomous systems. You will be responsible for shaping the future of systems engineering methodologies for AI systems and other ADAS features, architecting solutions that meet the development and testing needs of AI developers, systems engineers, and safety stakeholders. You will work closely with cross-functional partners to define program goals and create actionable roadmaps that drive systems design execution. **About the Organization:** The Autonomous Vehicle (AV) organization is dedicated to advancing the development of autonomous vehicles through cutting-edge simulation technologies and novel iterative development processes. The Software Validation team focuses on unlocking software launches and continuous release decisions via novel simulation V&V methodologies and targeted vehicle testing. Our collaborative environment fosters innovation and excellence, allowing us to push the boundaries of what is possible in autonomous vehicles systems engineering. **What** **You'll** **Do:** + Define requirements and metrics forvalidatingsafe and comfortableautonomousvehicle operations. + Decompose complex programs and features into actionable systems and defining acceptance criteria, influencing software developmentand launch decisions + Prototype and developsimulation-based and road-based testing strategies that supportcontinuous and scaled software release cycles + Combine experience insystemsengineering and data analysis tofacilitatedata driven design, validation, risk analysis, and prioritization decisions + Own roadmaps for developing long-term and stable requirements, verification/validation, and/or software solutions to advanced problemsover multiple product lifecycles + Mentor team membersandfacilitatecross-team collaboration to definesoftwarevalidation strategies for new launches **Your Skills & Abilities** + Advanced degreein Mechanical Engineering, Aerospace Engineering, Physics, Computer Science, Data Science, orrelated fields + 10+ years of experience in systems engineering, robotics, systems analysis, data analysis, statistical analysis, or other related fields + Proficient in product decomposition and requirements management including system analysis, requirements authoring, test generation, and other validation activities + Strong analytical thinking skills with the ability to interpret data and derive impactful conclusions + Ability to adapt andoperateunder ambiguity, going from quick code prototypes to long-term plans onbrief timehorizons + Excellent communication skills, capable of switching between high-level and detailed discussions **What Will Give You** **A** **Competitive Edge** + Proficient with SQL, Python, and C++ for analyzing large data sets + Experience with robotics, autonomous vehicles, vehicledevelopment,or ADAS development + Experience working with robotics simulation environments + Experience with requirements management tools (Jama, DNG, DOORS, etc.) + Proventrack recordof successful systems engineering for a safety-critical product Compensation: + The expected base compensation for this role is: $157,100 - $241,500. 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: + 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.

Hybrid: This role is categorized as hybrid. Role: As a Staff Systems Engineer on the Software Validation team within the AV organization, you will play a critical role in leading the strategy and execution of systems engineering and validation efforts for autonomous vehicle software. You will leverage your experience designing and implementing complex V&V strategies to quickly prototype, gain consensus, and move our programs forward with increased trust and efficiency. Your expertise will guide engineers in defining best practices, driving innovation in systems design, requirements development, and performance verification of autonomous systems. You will be responsible for shaping the future of systems engineering methodologies for AI systems and other ADAS features, architecting solutions that meet the development and testing needs of AI developers, systems engineers, and safety stakeholders. You will work closely with cross-functional partners to define program goals and create actionable roadmaps that drive systems design execution. About the Organization: The Autonomous Vehicle (AV) organization is dedicated to advancing the development of autonomous vehicles through cutting-edge simulation technologies and novel iterative development processes. The Software Validation team focuses on unlocking software launches and continuous release decisions via novel simulation V&V methodologies and targeted vehicle testing. Our collaborative environment fosters innovation and excellence, allowing us to push the boundaries of what is possible in autonomous vehicles systems engineering. What You'll Do: Define requirements and metrics for validating safe and comfortable autonomous vehicle operations. Decompose complex programs and features into actionable systems and defining acceptance criteria, influencing software development and launch decisions Prototype and develop simulation-based and road-based testing strategies that support continuous and scaled software release cycles Combine experience in systems engineering and data analysis to facilitate data driven design, validation, risk analysis, and prioritization decisions Own roadmaps for developing long-term and stable requirements, verification/validation, and/or software solutions to advanced problems over multiple product lifecycles Mentor team members and facilitate cross-team collaboration to define software validation strategies 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, systems analysis, data analysis, statistical analysis, or other related fields Proficient in product decomposition and requirements management including system analysis, requirements authoring, test generation, and other validation activities Strong analytical thinking skills with the ability to interpret data and derive impactful conclusions Ability to adapt and operate under ambiguity, going from quick code prototypes to long-term plans on brief time horizons Excellent communication skills, capable of switching between high-level and detailed discussions What Will Give You A Competitive Edge Proficient with SQL, Python, and C++ for analyzing large data sets Experience with robotics, autonomous vehicles, vehicle development, or ADAS development Experience working with robotics simulation environments Experience with requirements management tools (Jama, DNG, DOORS, etc.) Proven track record of successful systems engineering for a safety-critical product Compensation: The expected base compensation for this role is: $157,100 - $241,500. 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: 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.

**Hybrid:** This role is categorized as hybrid. **Role:** As a Staff Systems Engineer on the Software Validation team within the AV organization, you will play a critical role in leading the strategy and execution of systems engineering and validation efforts for autonomous vehicle software. You will leverage your experience designing and implementing complex V&V strategies to quickly prototype, gain consensus, and move our programs forward with increased trust and efficiency. Your expertise will guide engineers in defining best practices, driving innovation in systems design, requirements development, and performance verification of autonomous systems. You will be responsible for shaping the future of systems engineering methodologies for AI systems and other ADAS features, architecting solutions that meet the development and testing needs of AI developers, systems engineers, and safety stakeholders. You will work closely with cross-functional partners to define program goals and create actionable roadmaps that drive systems design execution. **About the Organization:** The Autonomous Vehicle (AV) organization is dedicated to advancing the development of autonomous vehicles through cutting-edge simulation technologies and novel iterative development processes. The Software Validation team focuses on unlocking software launches and continuous release decisions via novel simulation V&V methodologies and targeted vehicle testing. Our collaborative environment fosters innovation and excellence, allowing us to push the boundaries of what is possible in autonomous vehicles systems engineering. **What** **You'll** **Do:** + Define requirements and metrics forvalidatingsafe and comfortableautonomousvehicle operations. + Decompose complex programs and features into actionable systems and defining acceptance criteria, influencing software developmentand launch decisions + Prototype and developsimulation-based and road-based testing strategies that supportcontinuous and scaled software release cycles + Combine experience insystemsengineering and data analysis tofacilitatedata driven design, validation, risk analysis, and prioritization decisions + Own roadmaps for developing long-term and stable requirements, verification/validation, and/or software solutions to advanced problemsover multiple product lifecycles + Mentor team membersandfacilitatecross-team collaboration to definesoftwarevalidation strategies for new launches **Your Skills & Abilities** + Advanced degreein Mechanical Engineering, Aerospace Engineering, Physics, Computer Science, Data Science, orrelated fields + 10+ years of experience in systems engineering, robotics, systems analysis, data analysis, statistical analysis, or other related fields + Proficient in product decomposition and requirements management including system analysis, requirements authoring, test generation, and other validation activities + Strong analytical thinking skills with the ability to interpret data and derive impactful conclusions + Ability to adapt andoperateunder ambiguity, going from quick code prototypes to long-term plans onbrief timehorizons + Excellent communication skills, capable of switching between high-level and detailed discussions **What Will Give You** **A** **Competitive Edge** + Proficient with SQL, Python, and C++ for analyzing large data sets + Experience with robotics, autonomous vehicles, vehicledevelopment,or ADAS development + Experience working with robotics simulation environments + Experience with requirements management tools (Jama, DNG, DOORS, etc.) + Proventrack recordof successful systems engineering for a safety-critical product Compensation: + The expected base compensation for this role is: $157,100 - $241,500. 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: + 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.

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? 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. In this position... The Closures Systems Engineer will be responsible for concept development and detailed design of the door, hood, drop glass, and liftgate opening systems through multiple stages of development. You will Conceptualize, Design, Engineer, Develop and support the launch of full vehicle closures components. 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? What you'll do... Create and develop closures geometry and engineering execution in conjunction with design, supply chain, and other core teams. Create vehicle-aligned component and system targets for function, cost, weight, and investment. Develop 3D geometry and innovative designs concepts that solve challenging crash load cases while balancing construction, material, and manufacturing methods. Optimize the concepts and designs with analytical and physical assessments, ensuring conformation to federal regulations governing assigned systems. Deliver world-class craftsmanship and fit/finish through the proper implementation of GD&T. Develop, study, and implement novel construction techniques and materials then drive them to production feasibility. Build physical prototypes to prove out interaction models, materials, structures, or electrical interaction. Enable effective communications with Studio, Packaging, Advanced Engineering, Manufacturing, and Supplier activities to deliver optimal design solutions. Support presentations of concepts and status to senior management and internally to Company personnel in an integration and subject matter expert role What you'll do... Create and develop closures geometry and engineering execution in conjunction with design, supply chain, and other core teams. Create vehicle-aligned component and system targets for function, cost, weight, and investment. Develop 3D geometry and innovative designs concepts that solve challenging crash load cases while balancing construction, material, and manufacturing methods. Optimize the concepts and designs with analytical and physical assessments, ensuring conformation to federal regulations governing assigned systems. Deliver world-class craftsmanship and fit/finish through the proper implementation of GD&T. Develop, study, and implement novel construction techniques and materials then drive them to production feasibility. Build physical prototypes to prove out interaction models, materials, structures, or electrical interaction. Enable effective communications with Studio, Packaging, Advanced Engineering, Manufacturing, and Supplier activities to deliver optimal design solutions. Support presentations of concepts and status to senior management and internally to Company personnel in an integration and subject matter expert role