Staff Software Engineer, TLM, Quantitative Evaluations

The Planner Evaluation team works on one of the key challenges in autonomous driving: measuring and improving the quality of the software that drives the car. We are looking for experienced data-minded software engineers and data scientists to help us improve how we characterize and evaluate changes to the Onboard software stack (Planner, Perception, etc). If you are passionate about autonomous vehicles and how to use rich, complex data to drive decision making, this is the role for you!

This role follows a hybrid work schedule and reports to an Engineering Manager.

You will:

• Lead and manage a team of software engineers in charge of developing driving quality metrics, measuring the robustness of the Waymo Driver to its input (e.g. sensors data, maps), using a range of techniques including ML, statistics, and algorithms
• Define a long-term strategy, develop roadmaps, and guide the team to execute projects from ambiguous requirements to high-impact deliverables
• Use simulation creatively and mine real world driving logs to measure driving performance
• Champion code health and best practices in a large and complex code base
• Collaborate with other engineers, data scientists, statisticians and the leadership team to deliver evaluation products and help make data driven decisions

You have:

• Master's degree or PhD in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area
• 5+ years of experience in the field of software engineering
• Solid technical leadership in defining vision, strategy and priorities
• Proficiency in C++ or Python in a production environment
• Strong technical communication and collaboration skills

We prefer:

• 2+ years of experience in team management
• Experience coding in C++
• Experience with ML
• Experience with A/B experiment infrastructure
• Exposure to ad-hoc data analysis with SQL
• Experience working in the AV industry