Staff Software Engineer, Simulation

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. What You Must Have: • BS, MS, or PhD in Computer Science, Engineering, or equivalent experience. • 5+ 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.