Senior Software Engineer, Autonomous Vehicle Simulation

General Motors; Bellevue (WA); Hybrid; USD 153,000 - 234,000; Full time

Job summary

General Motors is seeking a hands‑on Software Engineer to turn complex simulation‑testing challenges into production‑ready software. You will build across backend services, data pipelines, production infrastructure, and evaluation feedback loops to automate workflows and scale test creation.

Collaborating with operations and engineering teams, you will connect tools into a single streaming system, enabling faster test creation and higher‑quality protocols that empower downstream teams to move

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, including production‑quality coding, unit testing, code review, debugging, and reliability practices.
• Experience building scalable backend systems, APIs, microservices, workflow orchestration, or internal engineering platforms.
• Experience with cloud‑based production systems, including deployment, observability, performance, and operational reliability.
• Experience designing or operating data pipelines and data‑processing systems using SQL, NoSQL and other tools for large‑scale operational, telemetry, or time‑series data.
• Experience building automated tests, validation, quality checks, CI/CD, or release workflows.
• Ability to lead high‑level technical design doc and drive execution across multiple teams.
• Strong communication skills and the ability to turn ambiguous technical problems into practical, maintainable solutions.
• Demonstrated adaptability, ownership, and ability to operate effectively in evolving technical environments.

Responsibilities

• Own the delivery of the simulation test suites that validate autonomous vehicle software, building on partner teams' test creation tools to produce and maintain tests in bulk, and building the orchestration and pipelines that connect those systems into an end‑to‑end workflow from incoming requests to running tests.
• Automate and standardize test creation and maintenance, so coverage grows without growing manual effort and integrate partner teams' evaluation systems as inputs that drive how tests are built, triaged, and retired.
• Partner with Autonomy, Systems, Safety, and customer teams to turn their testing needs into the tooling, interfaces, and automation that can deliver them seamlessly.
• Uphold high standards for code quality and software architecture through code reviews and technical leadership, mentoring other engineers on software engineering and simulation testing best practices.
• Leverage AI‑assisted development tools and analytics platforms to enhance productivity, improve code quality, and drive innovation in simulation testing.
• Take ownership of ambiguous problem spaces, define practical paths forward, and move quickly from prototype to production
• Operate with urgency and a strong bias toward execution velocity while maintaining a high bar for engineering quality

Skills

Python development

Backend services

Data pipelines

Cloud-based systems

SQL/NoSQL

CI/CD

Test automation

Technical leadership

Communication

Ownership of ambiguous problems

Education

BS/MS/PhD in CS/Engineering or related

Tools

Kubernetes

Docker

Job description

General Motors is seeking a hands‑on Software Engineer to turn complex simulation‑testing challenges into production‑ready software. You will build across backend services, data pipelines, production infrastructure, and evaluation feedback loops to automate workflows and scale test creation.

Collaborating with operations and engineering teams, you will connect tools into a single streaming system, enabling faster test creation and higher‑quality protocols that empower downstream teams to move