ADAS Data Engineer

Lead the design, development, and maintenance of autonomous driving data processing pipelines across AWS, Kubernetes, and on-prem environments.
Ingest, clean, parse, store, and visualize structured and unstructured data from on-board vehicle sensors (cameras, LiDAR, radar, GPS, and timeseries).
Optimize data storage, search, and processing using diverse storage solutions, caching techniques, and big data frameworks.
Collaborate with cross-domain teams including Data Collection, Machine Learning, testing, and third-party data vendors to tailor software solutions.
Architect and deliver scalable, multi-core, containerized backend services and microservices using Python and/or Go, PostgreSQL, and cloud tooling.
Demonstrate strong ownership, proactive initiative, and contribute to robust distributed systems capable of handling terabytes of data per day.