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Data Infrastructure

Genesis

San Francisco, CAFull-timePosted 4mo agoStill listed 5 days ago

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At a glance

Compensation
No compensation found
Location
San Francisco, CA
Schedule
Full-time
Work Authorization
Not specified

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Job overview

The role involves designing, building, and maintaining large-scale batch and streaming data pipelines for robotics foundation model training, owning core data infrastructure components, standardizing data models across teleoperation and simulation datasets, and collaborating with a driven team to develop general-purpose Physical AI.

Skills & qualifications

RequiredNice to have

Skills

Data PipelineApache KafkaComputer Data StorageData LakesData WarehousingKubernetesPythonGoSparkKafkaData WarehousesObject Stores (S3)TerraformDistributed SystemsLarge-Scale Data Pipelines

Qualifications

8+ Years Experience

Full 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

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