Principal Engineer, Data & ML Infrastructure
Motional, Boston, Massachusetts +5
About the job
Mission Summary
We are seeking a highly skilled and motivated Principal Engineer for our large-scale autonomous vehicle evaluation framework. The ideal candidate will have a strong background in cloud infrastructure, distributed systems and technical leadership, with experience in developing and deploying advanced large-scale orchestration frameworks to support simulation and evaluation workloads.
At Motional, large-scale orchestration for simulation, evaluation, and data analysis plays a critical role in delivering our ML-centered autonomous driving vehicle. Our robo-taxi ML Models and software are developed by hundreds of engineers and deployed multiple times a day. The Ground Truth Regression team provides a large-scale perception analysis framework for validating all changes to perception that can impact the autonomous vehicle behavior.
The GTRegression team validates the end impact of ML and software changes to the autonomous vehicle while those changes are in development, providing the tools for Root Cause Analysis, and safety consideration. We monitor for model errors, anomalies, rare objects & long-tail driving scenarios across thousands of driving hours. The team develops the full stack – AWS Kubernetes orchestration framework, ReSimulation, model metrics, regression reports, and deep dive analysis UI’s.