Staff Autonomous Driving Evaluation Engineer

General Motors; United States; On-site; USD 180,000 - 240,000; Full time

Job summary

General Motors' Evaluation team builds metrics and scalable evaluation pipelines for autonomous driving software. You will define metrics and analyses to assess performance across the autonomy stack, and partner with autonomy, systems, simulation, and data teams to embed evaluation into development and release decisions.

You will invent statistical and ML methods, own AV KPIs, and synthesize insights for stakeholders through interactive dashboards to accelerate validated deployment.

Qualifications

• 7+ years applied experience with robotics or autonomous systems software, spanning multiple subsystems from perception through planning and control of the vehicle.
• 3+ years leading evaluation of complex dynamic systems using numerical and ML approaches on large-scale time series data.
• Proficiency developing Python in production team environments; strong ability to work in large C++ autonomy codebases.
• Proven cross-team technical leadership, including defining strategies adopted by multiple teams and influencing system and architecture decisions.
• PhD, Masters, or Bachelor’s degree in Computer Science, Robotics, Mechanical or Aerospace Engineering, Machine Learning, or a related field.

Responsibilities

• Define the strategy and architecture for metrics and analyses to evaluate autonomous driving software performance across the autonomy stack.
• Lead cross-functional efforts with autonomy, systems engineering, simulation, and data teams to embed evaluation into development workflows and release decisions.
• Invent and drive new statistical and ML methods, and ML introspection techniques, to quantify performance, detect regressions, and reveal patterns of system behavior at scale.
• Own and refine key AV evaluation metrics and KPIs used for readiness and safety decisions; synthesize and present results and tradeoffs to stakeholders; make insights readily available to partner teams through interactive dashboards.

Skills

Robotics experience

Autonomous systems

Python production

C++ production code

Cross-team leadership

Data analysis

Education

PhD/Masters/Bachelors in CS/Robotics/Engineering/ML

Tools

Python

C++

ROS

SQL

NumPy/SciPy/Pandas

Job description

General Motors' Evaluation team builds metrics and scalable evaluation pipelines for autonomous driving software. You will define metrics and analyses to assess performance across the autonomy stack, and partner with autonomy, systems, simulation, and data teams to embed evaluation into development and release decisions.

You will invent statistical and ML methods, own AV KPIs, and synthesize insights for stakeholders through interactive dashboards to accelerate validated deployment.