Software Engineering Manager

The Role: We are looking for a Manager, Software Engineer to elevate the quality, trust, and operational efficiency of simulated tests and protocols, with a specific focus on driving test quality metrics within the Simulation organization at large. This role will lead a growing team's efforts to build out efficient infrastructure and processes to scale simulation test creation and maintenance, build confidence in test products, and drive cross-functional alignment on standards and tooling development. You will own timelines for critical deliverables and be at the nexus for accelerating autonomy development towards the next generation of Super Cruise. What You'll Do: - Build highly scalable infrastructure and automations to empower large-volume test creation, full-lifecycle health monitoring, and process improvements. - Effectuate scalable quality assessments and automations empowering better consistency, and process codifications to increase confidence in offshore vendor team and automated output. - Influence technical roadmaps and strategic priorities while partnering cross-functionally to identify and resolve efficiency pain points from team members and customers. - Write software in a relatively new vertical unconstrained by legacy bloat. - Leverage AI tools (e.g., code assistants, automated test generation, analytics) to boost productivity, code quality, and innovation in simulation testing. - 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. - Mentor and uplevel reports and colleagues to uplevel their software engineering skills (primarily Python). - Implement best practices for design, testing, and reviews. Provide and inspire in-depth design and code reviews. - Leading performance management, review cycles, and hiring processes for the team. What we do NOT do: - Build simulation frameworks - Develop validation / safety requirements - Manual simulation test creation Your Skills & Abilities (Required Qualifications): - BS, MS, or PhD in Computer Science, Engineering, or equivalent experience. - 8+ years of experience developing scalable software solutions using Python in a production environment. - Proven experience in building backend infrastructure supporting internal tooling and dashboards. - Strong communication and collaboration skills. What Will Give You a Competitive Edge (Preferred Qualifications): - Experience supporting autonomy, ADAS, robotic, or complex simulation systems. - Experience using or integrating AI-powered development tools (e.g., GitHub Copilot, Cursor) for code generation. - Demonstrated ability to drive technical design and execution across multiple teams and organizations in a remote or distributed environment. - Familiarity with SQL, BigQuery, time-series data analysis, performance monitoring tools, and dashboarding systems (e.g., Looker, Streamlit). - Knowledge of data orchestration tools (Airflow, DBT), and event-driven system design. - Familiarity with machine learning data operations, test quality frameworks, or simulation validation workflows. - Comfort asking hard questions, challenging assumptions, and advocating for quality and rigor.