Senior Systems Engineer – AV Sensing Design

General Motors LLC; Sunnyvale (CA); Hybrid; USD 140,000 - 170,000; Full time

Benefits offered by this job

Hybrid work model

Relocation support

Job summary

General Motors LLC in Sunnyvale is seeking a Senior Systems Engineer for the AV Sensing Design team to shape sensor architectures and integration across GM’s autonomy programs. You will perform system‑level trade studies and define multi‑modality sensor suites spanning camera, radar, lidar, and more, working with AI/ML, platform software, and vehicle integration teams.

The role demands first‑principles thinking, production‑readiness, and cross‑functional collaboration.

Qualifications

• Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or related field.
• 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.

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

Signal processing

Data analysis

Python

MATLAB

Cross-functional collaboration

Education

Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or related

Tools

MATLAB

Python

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 Sensing Design 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

• 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

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

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