Senior Software Engineer, Planner Evaluation

The Planner Evaluation team works on one of the key challenges in autonomous driving: improving the quality of the software that drives the car. We are looking for quantitative-minded software engineers to help us understand and improve the performance of our ML and robotics systems. If you are excited about applying a large volume of extremely rich data to improve core technology at the very heart of autonomous driving, this is the place for you!

In this hybrid role, you will report to the Senior Manager of Planner Evaluation.

You will:

• Develop signals to measure the performance of large-scale machine learning models that power our self-driving car's behavior, using a range of techniques including statistics, math, physics, and machine learning.
• Use simulation creatively to measure driving performance of novel ML algorithms.
• Work closely with statisticians, machine learning engineers, and roboticists to develop novel solutions to open problems.
• Build data pipelines for signal discovery, data labeling, feature extraction and metric computation based on large-scale simulations.

You have:

• BS in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area
• 5 years of industry experience
• Python, especially for modeling and/or statistical computing
• Experience with tools for large-scale parallel compute and data manipulation (Apache Beam, SQL)
• Experience evaluating the quality of machine learning prediction at scale.

We prefer:

• PhD in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area
• 7+ years of industry experience building large-scale ML systems
• Comfort with writing production code in Tensorflow / JAX
• Experience with large-scale parallel compute

#LI-Hybrid