About the 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
About Genesis
Genesis AI is a global physical AI research lab and full-stack robotics company building the world's first universal robotics foundation model (RFM) and horizontal robotics platform. It trains its models using synthetic data generated by a proprietary physics simulation engine, enabling robots to automate a wide range of physical tasks across industries such as manufacturing, logistics, and healthcare. Its mission is to unlock unlimited physical labor by deploying general-purpose robots with human-level intelligence.
