Senior Software Engineer, Autonomy Evaluation

What you'll do

• Design metrics, statistical and ML analyses, and algorithms to evaluate autonomy software across simulation and on-road runs.
• Build and maintain evaluation dashboards and reports, including explainable insights into trends, drift, and scenario coverage.
• Use VLMs and LLMs where appropriate to classify performance, identify critical scenarios, and prioritize validation, with human review as needed.

What they ask for

• 5+ years of applied experience in robotics or autonomous systems software, data analysis, ML evaluation, or autonomy analytics.
• 3+ years evaluating dynamic systems using numerical and/or ML approaches, including time-series data, dynamics, and interconnected subsystems.
• Strong proficiency developing Python in production team environments; proficiency with Pandas, NumPy, SciPy, and plotting/visualization libraries.
• Comfort working with C++ codebases; demonstrated technical leadership driving architecture, cross-team designs, or complex features.

Nice to have

• Experience in autonomous driving or field robotics, including simulation and field experiment analysis.
• Experience with sensor data, large-scale time-series analysis, SQL, ROS or similar frameworks, PyTorch, or AI-assisted development and analytics tools.

Tools

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

AI focus

Develop and apply statistical and ML methods to evaluate autonomy performance and ML components; use VLMs and LLMs where appropriate to classify performance, identify critical scenarios, and prioritize validation. Preferred experience includes AI-assisted development and analytics tools.