Staff Software Engineer, Autonomy Evaluation

What you'll do

• Set strategy and architecture for evaluating autonomy software performance across the stack.
• Lead cross-functional efforts to integrate evaluation into development workflows and release decisions.
• Develop statistical and machine-learning methods, own evaluation metrics, and present findings through dashboards.

What they ask for

• 7+ years of applied experience with robotics or autonomous systems software spanning perception through vehicle planning and control.
• 3+ years leading evaluation of complex dynamic systems using numerical and ML approaches on large-scale time-series data.
• Production Python proficiency and ability to work in large C++ autonomy codebases.
• Proven cross-team technical leadership; PhD, Master’s, or Bachelor’s degree in Computer Science, Robotics, Mechanical or Aerospace Engineering, Machine Learning, or a related field.

Nice to have

• Experience in autonomous driving or high-stakes field robotics, including large-scale simulation and field experiments.
• Familiarity with statistical modeling, experimental design, hypothesis testing, and tools such as Pandas, NumPy, SciPy, and visualization libraries.

Tools

Python, C++, Pandas, NumPy, SciPy, SQL, ROS, PyTorch

AI focus

Develop statistical and ML methods and ML introspection techniques to evaluate autonomous driving performance, quantify results, detect regressions, and identify system behavior patterns.