Staff Systems Engineer - AV Sensing Design
General Motors
Job DescriptionGeneral Motors is developing hands-off and eyes-off autonomous driving systems intended for broad deployment across consumer vehicles. As part of this effort, GM is investing in sensors and architectures that can be integrated, validated, and operated reliably at scale across diverse vehicle programs and operating environments.We are seeking a staff systems engineer to join the AV team to provide technical leadership in defining how autonomous sensing systems are architected and integrated across GM’s autonomy programs. This role focuses on sensor suite design at the intersection of sensors, Perception, Behaviors, and vehicle integration, ensuring that sensing solutions are technically sound, aligned with product intent, and executable in production.In this position, you will apply your specific areas of expertise to develop solutions to novel challenges as you lead system‑level trade studies, perform detailed analysis on individual sensors, and define multi-modality sensor suites spanning camera, radar, lidar, and more. You will work closely with AI/ML, simulation, data collection, platform software, and vehicle integration teams to address real engineering challenges. This role is for engineers who thrive in navigating ambiguous problem spaces and bring clarity to cross-functional teams with data-driven solutions.What You’ll DoYou will get the opportunity to contribute to one or more of the following:Lead system level trade studies for the design of multi-modality sensor systems supported by detailed modeling of performance and AV behavioral impactsDevelop detailed performance specifications for sensors supported by a strong understanding of sensor physics and signal processingAssess performance against product needs to assess risk, quantify impact, and drive continuous improvementWork closely with cross-functional stakeholders such as simulation, vehicle integration, perception, localization, and validation teams to manage complex interdependenciesClearly document technical decisions, trade‑offs, and deliverables.Your Skills & Abilities (Required Qualifications)Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical discipline10+ years of experience with B.S. with significant sensor related experienceDemonstrated leadership experience executing cross-functional initiatives across system architecture, data collection, analysis, integration, or other related activityExperience developing multi-modality sensing systems (camera, radar, lidar, or similar), their definition, usage, and integrationTechnical depth in signal processing, link analysis, or ML across at least one relevant sensing modalityUnderstand the challenges of self-driving and how those map to sensor needsDemonstrated ability to operate effectively in ambiguous problem spaces and drive technical alignment across teamsStrong written and verbal communication skills and the ability to communicate detailed technical informationWorking knowledge of Matlab, Python, or other languages to support data analysis and analysis tooling developmentWhat Will Give You a Competitive Edge (Preferred Qualifications)Experience in one or more of the following areas is a plus:Master’s or PhD degree in engineering or a related technical disciplineExperience developing systems for occupantless self-driving autonomous vehicles or advanced remote sensing platformsSignificant experience with automotive autonomy focused SPAD lidars and/or imaging radar data and failure modesExperience developing and leading system/component validation strategy, including use case definition, test protocol development, vehicle testing, HIL/SIL, simulation, and/or large‑scale data analysisExperience analyzing extrinsic calibration, pointing accuracy tolerance stacks, and similar conceptsAutonomous vehicle behavior modeling and assessmentExperience with sensor simulation model developmentCompensation: 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 189,300 to 290,700. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.Benefits:Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}. Relocation benefits are available for candidates who qualify under company policy. About GMOur 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 UsWe 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 OverviewFrom 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.AccommodationsGeneral 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, emailus or call us at View phone number on click.appcast.io. 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.SummaryLocation: Sunnyvale, California, United States of America; Remote - Washington; Austin, Texas, United States of America; Warren, Michigan, United States of AmericaType: Full time
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