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Data Infrastructure

Genesis· Engineering & Research
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Bay AreaFull-timePosted 5mo ago

About the role

Design, build, and maintain large-scale data pipelines for robotics foundation model training and evaluation at petabyte scale; own core data infrastructure including data model, storage, ingestion, transformation, and orchestration; standardize data models and unify processing pipelines across real-world teleoperation and synthetic simulation datasets; collaborate with a team building general-purpose Physical AI.

Responsibilities

  • 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

Qualifications

  • 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, particularly embodied AI like self-driving

Skills

Required:PythonGoDistributed systemsData pipelines
Last updated Jul 23, 2026. Interested? Apply on the company site.

About Genesis

A new future is at hand.

We are a new generation of robotics builders, united by a shared mission to push the boundaries of physical AI.

AIGENEGenesisfrontier-labsheadline-ai-europe-100-2026intelligencerobotics
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