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.
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Job details
Location
Paris, London
Funding
Total raised
$105M
Last stage
Seed
Investors
What happens next.
No applications, no recruiter spam. Just the intro.
Confirm the fit
A few questions to make sure this role is the right shape for you. Two minutes.
I pitch you to the company
I write the intro, send it to the founder, and handle the back-and-forth.
A meeting lands on your calendar
If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.