General Motors
Staff Software Engineer - Simulation Platform (Galileo)
$185K–$284K
Sunnyvale, California, United States of America · Remote/Hybrid · Staff · Full-time · Posted Oct 6, 2026
- Experience
- 7+ years; no alternative stated.
- Education
- Bachelor’s degree or higher in Computer Science, Robotics, Engineering, or a related technical field, or equivalent practical experience.
About the job
Leads the architecture and development of Galileo, a scalable simulation platform that helps GM teams run, analyze, and integrate autonomous-vehicle evaluations into engineering and release workflows.
What you'll do
- Define the platform’s technical vision, architecture, and multi-year roadmap; build scalable simulation and evaluation capabilities.
- Lead cross-functional integration and improve performance, reliability, cost, usability, and operational practices.
- Provide technical leadership, communicate tradeoffs, and mentor engineers across teams.
What they ask for
- Bachelor’s degree or higher in Computer Science, Robotics, Engineering, or a related technical field, or equivalent practical experience.
- 7+ years building and operating production software systems, platforms, or infrastructure.
- Cross-team technical leadership and strong experience with distributed systems, service-oriented or microservice architectures, and data-intensive applications.
- Production programming experience in Python and another language; experience with cloud platforms, CI/CD, automated testing, observability, and operational excellence.
Nice to have
- Experience in autonomous vehicles, robotics, simulation, validation, evaluation, or safety-critical systems.
- Experience with large-scale experiments, test frameworks, analytical technologies, data transformation tools, ROS, or visualization tools.
Pay
$185,100 and $284,100 (base salary range; stated as endpoints, not a formatted range)
Tools
Python, Go, C++, Java, TypeScript, PostgreSQL, BigQuery, DuckDB
AI focus
Supports autonomous-driving development through simulation and evaluation platforms; no AI model development is stated.
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