Staff Software Engineer, Autonomy Evaluation

What you'll do

• Set strategy and architecture for autonomy metrics and analyses; develop statistical and ML methods to quantify performance, detect regressions, and identify behavior patterns.
• Lead cross-functional integration of evaluation into development workflows and release decisions; own key evaluation metrics and KPIs.
• Present evaluation results and tradeoffs to stakeholders and provide insights through interactive dashboards.

What they ask for

• 7+ years of applied robotics or autonomous systems software experience spanning multiple subsystems from 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 strong ability to work in large C++ autonomy codebases.
• Proven cross-team technical leadership, and a 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, and hypothesis testing; Pandas, NumPy, SciPy, visualization libraries, C++, SQL, ROS, PyTorch, or related evaluation and data-pipeline technologies.

Pay

$185,00 and $284,100 (base salary)

Tools

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

AI focus

Develops statistical and ML methods and ML introspection techniques to evaluate autonomous-driving performance, detect regressions, and analyze system behavior at scale.