Hybrid
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About this role

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

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Job Details

Company
Genesis AI
Work Type
Hybrid
Posted
September 07, 2026
Source freshness
Seen on employer source 13h ago

About Genesis AI

Full-stack robotics company building general-purpose robots and robotics foundation models for real-world work across industrial and service environments.

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