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  • London

  • 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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