Staff Software Engineer, Quantitative Evaluations
Core
Develop signals and metrics to measure and improve the performance and driving qualities of the Waymo autonomous driving software stack using statistics, math, physics, and machine learning.
Role type
Staff Software Engineer (Quantitative Evaluations)
Builds
Evaluation products and metrics for the Waymo Driver software stack
Domain
Autonomous driving / Robotics
Deliverable
production ML models | dashboards & analysis
Required skills
Statistics, Math, Physics, Algorithms, Machine Learning, C++, Python, SQL, Data processing pipelines, Statistical analysis, Code health best practices
Preferred skills
A/B experiment infrastructure, Metric validation in complex systems, Ad-hoc data analysis tools, AV industry experience
Technologies
C++, Python, SQL
Responsibilities
Develop signals to measure Waymo driver performance; Mine real-world driving logs and use simulation to measure driving performance; Design methods to connect onboard software changes to simulated outcomes; Analyze data to improve metric quality and interpretability; Collaborate with engineers and data scientists to deliver evaluation products.