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 Senior Systems Engineer to join the AV Sensing Design team to contribute to defining how autonomous sensing systems are architected and integrated across GM's autonomy programs. This role focuses on system-level decisions at the intersection of sensors, embedded software, vehicle platforms, and autonomy software, ensuring that sensing solutions are technically sound, aligned with product intent, and executable in production.
In this position, you will perform system-level trade studies and support the definition of multi-modality sensor suites spanning camera, radar, lidar, and more. You will work closely with AI/ML, platform software, and vehicle integration teams to address real engineering challenges. The role is intended for engineers who are comfortable operating with autonomy, applying first-principles and physics-based analysis, and delivering robust technical contributions as systems mature from early development into deployed solutions.
What You'll Do You will get the opportunity to contribute to one or more of the following:
- Execute system-level trade studies for the design of multi-modality sensor systems supported by detailed modeling of performance and AV behavioral impacts
- Develop detailed performance specifications for sensors supported by a strong understanding of sensor physics and signal processing.
- Assess performance against product needs to assess risk, quantify impact, and drive continuous improvement
- Work closely with cross-functional stakeholders such as simulation, vehicle integration, perception, localization, and validation teams to manage complex interdependencies.
- Clearly 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 discipline
- 5+ years of experience with B.S. with sensor experience
- Experience supporting sensor analysis, integration, and cross-domain technical initiatives
- Technical depth in signal processing, link analysis, data analysis, or ML across at least one relevant sensing modality
- Understand of the challenges of self-driving, and how those map to sensor needs
- Demonstrated ability to contribute effectively in complex problem spaces and collaborate across teams
- Experience with Matlab, Python, or other language to support data analysis and analysis tooling development
What 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 related technical discipline
- Experience working on occupantless self-driving autonomous vehicles or advanced remote sensing platforms
- Experience with SPAD lidar and/or imaging radars
- Experience conducting large-scale sensor data analysis
- Experience designing extrinsic calibration and sensor pointing accuracy requirements
- Autonomous vehicle behavior modeling and assessment
- Experience with sensor simulation model development
- Experience designing autonomy use cases including sensor performance and/or vehicle behaviors and analyzing the resulting information
- Experience designing test protocols from lab to vehicle level for performance analysis, simulation model development, or related
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.
Total Rewards | 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, email us [email protected] or call us at 1-800-865-7580. 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.
