Senior Software Engineer, Simulation

General Motors is a global leader in advanced driver assistance. They are seeking a Senior Software Engineer to help develop and advance the simulation ecosystem for autonomous driving technology, focusing on building test infrastructure and maintaining simulation dashboards.

Responsibilities:

• Design, build, and maintain large-scale test infrastructure and evaluation pipelines that enable and quantify the accuracy, reliability, and efficiency of simulation tests used for autonomous vehicle software validation
• Develop and maintain GM’s core simulation dashboards and reports, delivering clear, actionable, and interpretable insights on test operations, simulation trust and health trends to engineering teams and leadership
• Drive scalable simulation quality assessments, standardized processes, and automation to support seamless integration of automated outputs with human-in-the-loop analysis and evaluation
• Collaborate with cross-functional partners across Autonomy, Systems, Safety, and customer teams to define, refine, and drive consensus on simulation validation methodologies and requirements
• 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

Requirements:

• 5+ years of applied experience developing complex evaluation, simulation, or test frameworks
• Proficient in developing Python for production systems, including unit testing, code review, performance tradeoffs, and reliability best practices
• Demonstrated ability to drive technical design and execution across multiple teams and organizations in a remote or distributed environment
• Strong communication and collaboration skills
• BS, MS, or PhD in Computer Science, Engineering, or equivalent experience
• Experience testing and evaluating robotics systems or autonomous vehicles, including working on simulation frameworks
• Experience working on test strategies and validation for safety-critical products
• A strong, data-driven curiosity to investigate anomalies and systematically root-cause discrepancies
• Familiarity with SQL, time-series data analysis, performance monitoring tools and dashboarding systems (e.g., Looker, Streamlit)