Genesis AI

Data Infrastructure

Genesis AI  •  London, GB (Onsite)  •  10 hours ago
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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
Genesis AI

About Genesis AI

Genesis AI is a global full-stack robotics company building general-purpose robots with human-level intelligence and capabilities. Led by a world-class team obsessed with excellence at every level, Genesis AI is pushing the boundaries of robotics and AI to unlock a new era of human productivity.

We are a new generation of robotics builders, united by a shared mission to push the boundaries of physical AI. Our team brings together the minds behind many of the most significant advances in robotics and AI in recent years — spanning the full stack.

We introduced generative simulation, created foundational platforms such as Genesis, Jiminy, Flightmare, GVBD Voxels, and invented the IPC algorithm. We led the development of the first multimodal models at Mistral AI and Apple Intelligence. We co-created UMI and Diffusion Policy, pioneered reinforcement learning frameworks for superhuman drone racing, and scaled robotic data systems at NVIDIA GR00T. We built cross-platform GPU compilers such as VeriGPU, DeepCL, Coriander, and the original PyTorch. We also built industry-leading rendering engines at Google, Epic and Unity. Now, we’ve come together at Genesis AI to close the loop, and build what’s next.

Industry
Architecture & Engineering
Company Size
51-200 employees
Headquarters
Unknown
Year Founded
Unknown
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