Staff Software Engineer, Simulation

General Motors is a leader in the automotive industry, and they are seeking a Staff Software Engineer for their Simulation Test Engineering team. This role involves architecting and optimizing large-scale simulation testing pipelines for autonomous vehicle behavior development and validation, while driving the integration of AI-powered tools for enhanced testing efficiency.

Responsibilities:

• 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

Requirements:

• 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
• 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