Staff Systems Engineer – AV Sensing Design

General Motors•Washington, DC

1d•$189,300 - $290,700•Hybrid

About The Position

General Motors is developing hands-off and eyes-off autonomous driving systems for deployment across consumer vehicles. The Staff Systems Engineer will provide technical leadership in defining how autonomous sensing systems are architected and integrated across GM autonomy programs. The role focuses on sensor suite design at the intersection of sensors, Perception, Behaviors, and vehicle integration, ensuring sensing solutions are technically sound, aligned with product intent, and executable in production. The engineer will lead system-level trade studies, analyze individual sensors, and define multi-modality sensor suites that may include cameras, radar, lidar, and other technologies. The work involves collaboration with AI/ML, simulation, data collection, platform software, vehicle integration, perception, localization, and validation teams to resolve engineering challenges and align stakeholders through data-driven solutions. This role is categorized as hybrid, with the selected candidate expected to report to a specific location at least three times a week or at another frequency determined by their manager. Relocation benefits are available to candidates who qualify under company policy. The salary range is $189,300 to $290,700, with incentive pay potential based on company performance, job level, and individual performance.

Requirements

Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical discipline.
10 or more years of experience with a bachelor’s degree, including significant sensor-related experience.
Demonstrated leadership executing cross-functional initiatives involving system architecture, data collection, analysis, integration, or related activities.
Experience developing, defining, using, and integrating multi-modality sensing systems such as camera, radar, or lidar.
Technical depth in signal processing, link analysis, or machine learning across at least one relevant sensing modality.
Understanding of self-driving challenges and how they translate into sensor needs.
Ability to work effectively in ambiguous problem spaces and drive technical alignment across teams.
Strong written and verbal communication skills, including communicating detailed technical information.
Working knowledge of Matlab, Python, or other programming languages for data analysis and analysis-tool development.

Nice To Haves

Master’s or PhD degree in engineering or a related technical discipline.
Experience developing systems for occupantless self-driving autonomous vehicles or advanced remote-sensing platforms.
Significant experience with automotive autonomy-focused SPAD lidars and/or imaging radar data and failure modes.
Experience developing and leading system or component validation strategies, including use-case definition, test protocol development, vehicle testing, HIL/SIL, simulation, and/or large-scale data analysis.
Experience analyzing extrinsic calibration, pointing-accuracy tolerance stacks, or similar concepts.
Experience in autonomous vehicle behavior modeling and assessment.
Experience developing sensor simulation models.

Responsibilities

Lead system-level trade studies for multi-modality sensor system design, using detailed modeling of performance and impacts on autonomous vehicle behavior.
Develop detailed sensor performance specifications using knowledge of sensor physics and signal processing.
Assess sensor performance against product needs, quantify risks and impacts, and drive continuous improvement.
Work with simulation, vehicle integration, perception, localization, validation, and other cross-functional stakeholders to manage complex interdependencies.
Document technical decisions, trade-offs, and deliverables clearly.

Benefits

Medical, dental, and vision benefits.
Health Savings Account and Flexible Spending Accounts.
Retirement savings plan.
Sickness and accident benefits.
Life insurance.
Paid vacation and holidays.
Tuition assistance programs.
Employee assistance program.
GM vehicle discounts.
Incentive pay program with payouts based on company performance, job level, and individual performance.
Relocation benefits for candidates who qualify under company policy.