Data Infrastructure at Genesis

About the role

What will you do at Genesis?

What You’ll DoDesign, build, and maintain large-scale data pipelines (batch and streaming) for robotics foundation model training and evaluation at petabyte scaleOwn core data infrastructure: data model, storage systems, ingestion pipelines, transformation frameworks, and orchestration layersStandardize data models and unify processing pipelines across real-world teleoperation and synthetic simulation datasetsCollaborate with a team of driven individuals committed to building general-purpose Physical AIWhat You’ll BringExcellent 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

Which skills does this role require?

PythonKubernetesTerraformKafkaSpark

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