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Data Infrastructure at Genesis AI

Bay AreaEngineering & ResearchFull-timePosted 6 months ago

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About the role

As published on Genesis AI's job board.

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

Before you apply

  1. Scan your resume against this posting to see which of its terms you are missing.
  2. Tailor your resume so the summary and bullets use the posting's own wording where it is true for you.
  3. Read the infrastructure engineer resume guide and the interview questions for the role.
  4. Apply on Genesis AI's site. Applications never pass through OneTwo Resume.

About Genesis AI

Full-stack general-purpose robot company that develops the Genesis physics simulator and robot foundation models.

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