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Data Infrastructure Engineer (Bay Area / Paris / Remote) at Genesis AI. Remote Location: Bay Area. 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