ADAS Data Engineer
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The role
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.
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.
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