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# Senior Systems Engineer

- **Company:** General Motors
- **Location:** Olympia, WA, United States
- **Experience:** Expert
- **Salary:** $153,200.0 - $234,100.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Systems Engineering, Big Data, Software Debugging, Embedded Software, Python (Programming Language), Link Analysis, MATLAB, Requirements Management, Signal Processing, Systems Architecture, Systems Integration, Jama (Software)
- **Published:** October 7, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3423499677&tx=JR10397LFR&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* 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

## Description

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., 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}.