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# Staff Software Engineer, Simulation

- **Company:** The Gm
- **Location:** Sunnyvale, CA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $189,300.0 - $290,700.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Automation of Tests, Code Generation, Software Quality, Code Review, Cursor, Software Debugging, Programming Tools, Distributed Computing Environment, Python (Programming Language), Machine Learning, Computational Geometry, Software Engineering, SQL Databases, GitHub Copilot, Information Technology, Performance Monitor, Streamlit Framework, Looker Analytics, Data Pipelines
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/staff-software-engineer-simulation-sunnyvale-ca--63e782d1-9896-4cb7-8d02-a6c4b4ed53c2

## About the Role

Software Engineering, Software Simulation, Testing, Software Engineering, Audiovisual, Software Development, Simulation, Test Plan/Schedule, Analysis Skills, Cross-Functional, * BS, MS, or PhD in Computer Science, Engineering, or equivalent experience.

 * 7+ years of experience developing scalable software solutions using Python in a production environment.
 * Proven experience in test framework development, large-scale simulation test creation and management, or metrics-driven test signal extraction.
 * Experience using or integrating AI-powered development tools (e.g., GitHub Copilot, Cursor, AMP) for code generation, test automation, or analytics.
 * Strong communication and collaboration skills.

 * Demonstrated ability to drive technical design and execution across multiple teams and organizations in a remote or distributed environment.

Bonus points:

 * Experience with simulation frameworks for AV or robotics.
 * Familiarity with SQL, time-series data analysis, performance monitoring tools and dashboarding systems (e.g., Looker, Streamlit).
 * Knowledge of ROS, data orchestration tools (Airflow, DBT), and visualization libraries.
 * Experience with computational geometry, machine learning, or advanced analytics.

## Description

Remote: This role is open to a fully remote position or hybrid with one of our offices if preferred.
Role Overview:As a Staff Software Engineer on the Simulation Test Engineering team, you will architect, implement, and optimize large-scale simulation testing pipelines for AV behavior development and validation. You will drive the adoption and integration of AI-powered tools to automate test creation, analysis, and reporting, enabling rapid iteration and high-confidence validation of AV software. You will collaborate cross-functionally to deliver robust, user-facing test products built on industry-leading simulation frameworks. Your work will directly impact the quality, safety, and velocity of AV software development.
About the Team:The Simulation Test Engineering group accelerates autonomous vehicle (AV) development, validation, and deployment by delivering scalable testing pipelines and products. Our mission is to provide precise, reliable, and automated simulation-based testing that enables data-driven decisions and ensures the safety and performance of AV software.
Why Join Us?

 * Shape the future of AV simulation and testing by driving the adoption of AI and automation.
 * Work with cutting-edge technology and a collaborative, high-impact team.
 * Contribute to the safety, reliability, and scalability of next-generation autonomous vehicles.

What You'll Do:

 * Lead the design and implementation of automated, scalable AV simulation testing pipelines and frameworks that deliver clear signals on behavior validation and operational readiness.
 * Build and maintain extensible shared libraries and automation for test creation, data collection/analysis, debugging, and performance monitoring.
 * Influence technical roadmaps and strategic priorities while partnering cross-functionally to integrate new simulation technologies aligned with AV goals.
 * Uphold high code quality and architecture standards through code reviews and technical leadership, including providing mentorship to other engineers on simulation testing and software best practices.
 * Leverage AI tools (e.g., code assistants, automated test generation, analytics) to boost productivity, code quality, and innovation in simulation testing.