Staff Systems Engineer, Sensor Systems Engineering & Architecture

General Motors (GM)

Confirmed live yesterday High trust

Hybrid

Quick summary

Work type: Hybrid
Location: Sunnyvale, CA
Salary: $135,420–$215,000 / yr
Employment: Full-time
Posted: 36 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $178k

This role $175k

$125k $230k

below market most similar roles pay here above market

This role pays more than 52% of similar roles. Most pay $142,500–$214,500 — the blue band above. At the midpoint, this role pays about $175k versus about $178k for comparable roles.

Based on 240 similar postings.

Employer

About General Motors (GM)

General Motors (GM) is a leading American multinational automotive corporation founded in 1908 and headquartered in Detroit, Michigan.

General Motors (GM) currently has 196 open roles on FindRole.

Listed pay typically runs $159,200–$245,000 across 54 roles with salary data.

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At a glance

TL;DR · Staff Systems Engineer, Sensor Systems Engineering & Architecture

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JOB TITLE: Staff Systems Engineer – Sensor Systems Engineering & Architecture The Staff Systems Engineer joins the Sensor Systems Engineering & Architecture team to provide technical leadership for autonomous driving systems. This role focuses on ensuring sensing systems perform reliably across diverse weather and contamination conditions. You will lead system-level trade studies, define performance requirements, and develop technical frameworks to assess sensor cleaning solutions. Key responsibilities include requirements decomposition and integration for radar, cameras, and lidar systems. You will collaborate with perception, platform software, and vehicle integration teams to manage complex interdependencies. Required skills include experience in systems engineering, hardware-intensive product development, and sensing systems. Candidates should possess expertise in requirements decomposition and data analysis using Matlab or Python. The work addresses the technical challenge of maintaining sensor robustness in real-world operating environments for production-ready autonomous vehicles.

What does a Systems Engineer earn in California?

Median $191000 from 99 postings across 21 companies.

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Skills

Systems Engineering Python Matlab Radar Lidar Cameras HIL SIL Requirements Management JAMA DNG Functional Safety Data Analysis Simulation Vehicle Integration Trade Studies

What you'll do

Lead system-level trade studies and requirements decomposition for radar, camera, and lidar sensor systems.
Define performance requirements for sensors operating under adverse weather and contamination scenarios.
Characterize and benchmark the performance of active and passive sensor cleaning mechanisms.
Translate product performance intent into system architectures and functional decompositions.
Manage complex interdependencies between software platform, hardware, perception, and vehicle integration teams.
Ensure system designs meet safety, regulatory, and quality requirements for autonomous vehicle operation.
Document all technical decisions, trade-offs, and deliverables clearly.

What we're looking for

Bachelor's degree in Systems, Electrical, Software, Mechanical Engineering, or a related technical field.
10+ years of experience in systems engineering, system integration, or hardware-intensive product development.
Experience working with sensing systems such as camera, radar, or lidar.
Technical understanding of the effects of weather and contamination on sensor performance.
Experience leading cross-domain technical initiatives for the evaluation and validation of sensor performance.
Expertise in requirements decomposition and development.
Demonstrated ability to operate effectively in ambiguous problem spaces and drive technical alignment across teams.
Experience with Matlab, Python, or other tools to support data analysis and analysis tooling development.
Master's degree or PhD in Engineering or a related technical discipline (preferred).
Direct experience characterizing or modeling sensor performance degradation in adverse weather conditions (preferred).
Familiarity with weather simulation methodologies, physics-based sensor modeling, or environmental test chamber evaluation (preferred).
Experience with sensor cleaning systems, including nozzle, air, wiper, or other advanced methods (preferred).
Experience working on L4 autonomous vehicle programs or advanced remote sensing platforms (preferred).
Experience with requirements management tools such as JAMA or DNG (preferred).
Knowledge of safety-critical system development or functional safety concepts (preferred).
Experience with system/component validation including vehicle testing, HIL/SIL, simulation, and large-scale data analysis (preferred).

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