Senior Systems Engineer – AV Sensing Design

General Motors; Washington; On-site; USD 125,000 - 165,000; Full time

Job summary

General Motors is developing hands‑off and eyes‑off autonomous driving systems intended for broad deployment across consumer vehicles. You will perform system‑level trade studies for multi‑modality sensor design and develop detailed performance specifications guided by sensor physics and signal processing.

You will collaborate with simulation, vehicle integration, perception, localization, and validation teams to manage interdependencies and document key technical decisions, trade‑offs, and

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, data analysis, or ML across at least one sensing modality.
• Understand 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 tooling development.

Responsibilities

• 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.

Skills

Sensor analysis

Data analysis

Cross-functional collaboration

Signal processing

Autonomous driving understanding

Education

B.S. in EE/CE/CS

Tools

MATLAB

Python

Job description

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.

What You’ll Do

• 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

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.