Data Infrastructure

Job Description

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