Data Infrastructure

What You’ll Do Design, build, and maintain large-scale data pipelines (batch and streaming) for robotics foundation model training and evaluation at petabyte scale Own core data infrastructure: data model, storage systems, ingestion pipelines, transformation frameworks, and orchestration layers Standardize data models and unify processing pipelines across real-world teleoperation and synthetic simulation datasets Collaborate with a team of driven individuals committed to building general-purpose Physical AI What You’ll Bring Excellent software engineering skills (Python, Go, or similar) Extensive experience designing, building, and maintaining large-scale data pipelines (8+ years) Deep understanding of distributed systems (Spark, Kafka, or similar) Extensive experience with data storage technologies (data lakes, warehouses, object stores like S3) Experience running and maintaining production-grade infrastructure (Kubernetes, Terraform) Bonus: Experience supporting AI systems, in particular embodied AI like self-driving