Principal Engineer, Data & ML Infrastructure

We are seeking a Principal Engineer for our large-scale autonomous vehicle evaluation framework. The role involves driving innovation in data warehousing, maintaining and scaling orchestration frameworks on AWS Kubernetes, owning large-scale data analysis workflows, and providing technical leadership. The team develops full-stack solutions for perception analysis, regression testing, and root cause analysis for ML models in autonomous driving.

Bachelor's or Master's in CS or related field. Proficiency in Go and Python. Deep experience with AWS, GCP, or Azure and Kubernetes. Experience with large-scale data processing and distributed computing. Bonus: PhD, OLAP databases (ClickHouse), ML in autonomous driving, architecting large-scale orchestration platforms, ML/data mining.