Staff Software Engineer — Embedded Systems Platform

General Motors; Milford Charter Township (MI); On-site; USD 189,000 - 291,000; Full time

Benefits offered by this job

Company vehicle program

Job summary

General Motors seeks a Staff Software Engineer in Michigan to shape and scale embedded software platforms for software-defined vehicles. You will drive durable architecture, define automated test frameworks across virtual and physical environments, and lead cross‑team efforts to improve engineering effectiveness and release confidence.

You'll own test-automation strategies, leverage Databricks for analytics, and partner with teams to reduce risk while delivering high‑quality software at scale in

Qualifications

• Bachelor's degree in computer science, computer engineering, electrical engineering, software engineering, systems engineering or related field.
• Typically 10+ years experience validating software systems, including leadership across organizations.
• Deep understanding of software architecture for real-time systems.
• Experience shipping high-quality safety-critical products.
• Experience architecting large-scale CI/CD, embedded test automation, and build-to-test pipelines.

Responsibilities

• Be a critical leader of software engineering productivity and effectiveness.
• Identify opportunities, strategies, process improvements, and lead the change.
• Be hands-on by leading high impact efforts.
• Lead the modernization of a large-scale embedded software test system.
• Define and modernize automated, headless test frameworks across environments.

Skills

Leadership

Architecture across orgs

CI/CD pipelines

Test automation

Problem solving

Education

Bachelor's degree in CS/CE/related field

Tools

Embedded Linux

Git

Python

Bash

Robot Framework

Containers

Infrastructure as Code

Job description

General Motors seeks a Staff Software Engineer in Michigan to shape and scale embedded software platforms for software-defined vehicles. You will drive durable architecture, define automated test frameworks across virtual and physical environments, and lead cross‑team efforts to improve engineering effectiveness and release confidence.

You'll own test-automation strategies, leverage Databricks for analytics, and partner with teams to reduce risk while delivering high‑quality software at scale in