Senior Software Engineer - Simulation Test Automation & Pipelines

General Motors; Sunnyvale (CA); Hybrid; USD 153,000 - 234,000; Full time

Job summary

General Motors is seeking a hands-on Software Engineer to transform complex simulation-testing challenges into production-ready software. You’ll build backend services, data pipelines, and production infrastructure, moving testing from manual to automated workflows.

Collaborate with autonomy, systems, safety, and customer teams to deliver scalable tooling and automation. Bring strong Python skills, experience with cloud-native systems, and a track record of producing reliable software.

Qualifications

• BS, MS, or PhD in Computer Science, Engineering, or a related field, or equivalent practical experience.
• 5+ years of experience designing, building, and operating production software, backend services, data platforms, or infrastructure systems.
• Strong Python development skills with production-quality coding, unit testing, code reviews, debugging, and reliability practices.

Responsibilities

• Own the delivery of the simulation test suites for autonomous vehicle software, building tests and end-to-end workflows.
• Automate and standardize test creation/maintenance and integrate evaluation systems as inputs for test design, triage, and retirement.
• Partner with Autonomy, Systems, Safety, and customer teams to translate testing needs into tooling and automation.
• Uphold high standards for code quality and architecture through reviews and mentorship.

Skills

Python

Backend services

Data pipelines

CI/CD

Cloud-based systems

Test automation

Leadership

Communication

Education

BS/MS/PhD in Computer Science/Engineering

Job description

General Motors is seeking a hands-on Software Engineer to transform complex simulation-testing challenges into production-ready software. You’ll build backend services, data pipelines, and production infrastructure, moving testing from manual to automated workflows.

Collaborate with autonomy, systems, safety, and customer teams to deliver scalable tooling and automation. Bring strong Python skills, experience with cloud-native systems, and a track record of producing reliable software.