Staff Sensor Systems Engineer

Job Description

Hybrid/Remote:If the candidate is within 50 miles of a GM Technical center they will need to report to the office 3 times a week.

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 sensor platforms and system 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 Sensor Systems Engineering & Architecture team to provide technical leadership in defining how autonomous sensing systems are architected and integrated across GMs autonomy programs. This role focuses on systemlevel 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 lead systemlevel trade studies define sensor systems spanning camera radar and lidar and work closely with perception platform software and vehicle integration teams to address real engineering challenges. The role is intended for engineers who are comfortable operating in ambiguity applying firstprinciples analysis alongside practical constraints and providing steady technical direction as systems mature from early development into deployed solutions.

What Youll Do

You will get the opportunity to contribute to one or more of the following.

• Lead system level trades and requirement decomposition definition and integration requirements of autonomous sensor systems including cameras radar and lidar

• Provide detailed technical analysis from component level to system for autonomous vehicle sensing functions across performance latency data integrity synchronization and hardware/software interaction

• Translate autonomy and product intent into system architectures functional decompositions and requirements.

• Work closely with software platform teams vehicle integration hardware teams perception and validation teams to manage complex interdependencies and drive forward progress.

• Ensure system designs meet safety regulatory quality and performance requirements relevant to autonomous vehicle operation.

• Drive continuous improvement in sensing system performance robustness diagnostics integration and cost.

• Clearly document technical decisions tradeoffs and deliverables.

Your Skills & Abilities (Required Qualifications)

• Bachelors degree in Systems Electrical Software Mechanical Engineering or equivalent work experience..

• 10 years of experience in systems engineering system integration or hardwareintensive product development.

• Experience working with sensing systems (camera radar lidar or similar) and their usage and integration into vehicles.

• Experience leading system architecture integration and crossdomain technical initiatives.

• Strong expertise in requirements development interface definition integration and validation.

• Technical depth in signal processing link analysis or ML across at least one relevant sensing modality.

• Demonstrated ability to operate effectively in ambiguous problem spaces and drive technical alignment 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)

• Masters 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 systemslevel software.

• Significant experience with automotive autonomy focused SPAD lidars and/or imaging radars.

• Experience with requirements management tools such as JAMA or DNG.

• Knowledge of safety-critical system development or functional safety concepts.

• Experience with system/component validation including vehicle testing HIL/SIL simulation and largescale data analysis

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