Senior Systems Engineer
Job Description
General 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 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
- Bachelor’s degree in Systems, Electrical, Software, Mechanical Engineering, or a related technical field. Previous work equivalent experience
- Experience supporting system architecture, integration, and cross‑domain technical initiatives.
- Experience working with sensing systems (camera, radar, lidar, or similar), their usage, and integration.
- 5+ years of experience in a sensor intensive field, systems engineering/architecture, autonomy, or other related field.
- Experience in requirements development, interface definition, integration, and validation.
- Technical depth in signal processing, link analysis, or ML across at least one relevant sensing modality.
- Understanding 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)
- Master’s degree in Engineering or a related technical discipline.
- Experience working on L4 (or equivalent) autonomous vehicle programs or advanced remote sensing platforms.
- Experience developing, debugging, or integrating embedded or systems‑level software.
- Significant experience with automotive autonomy focused lidars and/or radars.
- Experience with requirements management tools such as JAMA or DNG.
- Experience with system/component validation, including vehicle testing, HIL/SIL, simulation, and large‑scale data analysis
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 153,200 to 234,100. 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}.

The selected candidate will be required to travel <25% for this role.

Relocation benefits are available for candidates who qualify under company policy.

The position is subject to export control restrictions and requires the successful candidate to be a U.S. Person (U.S. citizen, U.S. permanent resident, asylee or refugee).


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