Engineering Manager - Autonomy Evaluation
Core
Lead a team building software, metrics, and analysis systems to evaluate autonomous driving performance at scale, serving GM's AV development and verification needs.
Role type
Engineering Manager, Autonomy Evaluation
Builds
Software, metrics, and analysis systems for evaluating autonomous driving performance
Domain
Autonomous driving / Robotics / Data Analytics
Deliverable
production ML models | dashboards & analysis | infrastructure
Required skills
Technical leadership, Python production development, statistical/ML evaluation methods, system design, cross-functional influence, data visualization, root-cause analysis
Preferred skills
Autonomous driving/field robotics experience, sensor data evaluation (camera/lidar/radar), SQL, ROS, computational geometry, PyTorch, AI-assisted development tools
Technologies
Python, Pandas, NumPy, SciPy, C++, SQL, ROS, PyTorch, VLMs, LLMs
Responsibilities
Lead and grow a team of engineers building evaluation platforms and tooling; Set technical direction for systems introspecting AV software performance; Drive design of analysis algorithms for metrics aggregation; Guide development of statistical/ML methods for performance quantification; Oversee evaluation approaches for ML components (perception, prediction, planning); Ensure delivery of dashboards and reports for trend analysis and drift detection; Partner with Autonomy, Simulation, and Safety teams to align evaluation strategy; Translate system-level results into feedback for engineering and leadership
Seniority
Senior, hands-on IC with people leadership
