Engineering Manager - Autonomy Storage Infra
Core
Lead a world-class data engineering team managing the full data lifecycle (collection, ingestion, storage, querying, retrieval) at hundreds of PBs scale for autonomous vehicle and physical AI workloads.
Role type
Senior Engineering Manager (Data Infrastructure)
Builds
Scalable storage infrastructure and data platforms supporting external products and internal tooling across cloud, hybrid, and on-prem deployments.
Domain
Data Infrastructure / Physical AI / Automotive & Defense
Deliverable
production ML models
Required skills
Large-scale distributed data systems, Data lifecycle management, Cloud-native architectures, Containerization, Open-source data technologies (Spark, Hudi/Iceberg, LanceDB, dbt), Team leadership, Technical roadmap definition
Preferred skills
Multi-cloud platforms (GCP, AWS, Azure), Streaming technologies (Kafka, Flink), Data governance, Observability at scale, Automotive/Robotics domain experience
Technologies
Spark, Hudi, Iceberg, LanceDB, dbt, Kafka, Flink, Debezium, GCP, AWS, Azure
Responsibilities
Lead, grow, and mentor a team of data infrastructure engineers; Define and drive the technical roadmap for storage infrastructure; Own the architecture and reliability of systems handling the full data lifecycle; Drive engineering decisions for scalable data ingestion, indexing, storage, and retrieval; Establish and uphold engineering best practices and code quality standards; Recruit top engineering talent and build an inclusive, high-performing team
Seniority
Senior, hands-on IC leader with people management
