Senior Systems Engineer

General Motors (GM)

Confirmed live today High trust

Hybrid

Quick summary

Work type: Hybrid
Location: Sunnyvale, CAAustin, TXMilford, MIWarren, MIWashington
Salary: $153,200–$234,100 / yr
Employment: Full-time
Posted: 3 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $159k

This role $194k

$106k most similar roles pay here $248k

This role pays more than 85% of similar roles. Most pay $139,375–$178,500 — the shaded band above. At the midpoint, this role pays about $194k versus about $159k 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 176 open roles on FindRole.

Listed pay typically runs $158,000–$245,000 across 61 roles with salary data.

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At a glance

TL;DR · Senior Systems Engineer

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The Senior Systems Engineer joins the AV team to define how autonomous sensing systems are architected and integrated across various vehicle programs. This role focuses on system-level decisions at the intersection of sensors, embedded software, vehicle platforms, and autonomy software. You will perform system-level trade studies, develop detailed performance specifications, and manage complex interdependencies for multi-modality sensor suites including camera, radar, and lidar. The position requires technical depth in signal processing, link analysis, or ML, alongside experience in requirements development, interface definition, and validation. You will utilize Matlab and Python to support data analysis and tooling development. The work involves solving engineering challenges to ensure sensing solutions are technically sound, aligned with product intent, and executable in production for hands-off and eyes-off autonomous driving systems.

What does a Systems Engineer earn in California?

Median $190000 from 91 postings across 18 companies.

See salary data

Skills

Systems Engineering Signal Processing Python Matlab Embedded Software HIL SIL Simulation Requirements Management JAMA DNG Radar Lidar Camera Link Analysis

What you'll do

Execute system-level trade studies for multi-modality sensor systems using performance and behavioral impact modeling.
Develop detailed performance specifications for sensors based on sensor physics and signal processing.
Assess sensor performance against product needs to quantify risk and drive continuous improvement.
Manage complex interdependencies with cross-functional teams including simulation, vehicle integration, perception, and validation.
Document all technical decisions, trade-offs, and deliverables clearly.
Define requirements, interfaces, and integration paths for camera, radar, and lidar systems.
Use Matlab or Python to develop data analysis tools and support technical evaluations.

What we're looking for

Bachelor’s degree in Systems, Electrical, Software, Mechanical Engineering, or a related technical field.
Previous work experience equivalent to a Bachelor's degree.
5+ years of experience in a sensor intensive field, systems engineering/architecture, autonomy, or other related field.
Experience supporting system architecture, integration, and cross-domain technical initiatives.
Experience working with sensing systems including camera, radar, lidar, or similar.
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.
Experience with Matlab, Python, or other languages to support data analysis and analysis tooling development.
Master’s degree in Engineering or a related technical discipline (preferred).
Experience working on L4 autonomous vehicle programs or advanced remote sensing platforms (preferred).
Experience developing, debugging, or integrating embedded or systems-level software (preferred).
Significant experience with automotive autonomy focused lidars and/or radars (preferred).
Experience with requirements management tools such as JAMA or DNG (preferred).
Experience with system/component validation, including vehicle testing, HIL/SIL, simulation, and large-scale data analysis (preferred).
Must be a U.S. Person (U.S. citizen, U.S. permanent resident, asylee, or refugee).
Subject to export control restrictions.

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