Data Infrastructure
Genesis · London · posted Sep 7, 2026
Open to candidates in United Kingdom
You apply on the company's own site. We never charge to apply.
What this role actually asks for
Extracted by RemoteHuntMust have
- •Design, build, and maintain large-scale data pipelines
- •Own core data infrastructure
- •Standardize data models and unify processing pipelines
- •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
Nice to have
- •Experience running and maintaining production-grade infrastructure (Kubernetes, Terraform)
- •Experience supporting AI systems, in particular embodied AI like self-driving
Tools and technologies
The full posting
What You’ll Do
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Design, build, and maintain large-scale data pipelines (batch and streaming) for robotics foundation model training and evaluation at petabyte scale
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Own core data infrastructure: data model, storage systems, ingestion pipelines, transformation frameworks, and orchestration layers
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Standardize data models and unify processing pipelines across real-world teleoperation and synthetic simulation datasets
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Collaborate with a team of driven individuals committed to building general-purpose Physical AI
What You’ll Bring
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Excellent software engineering skills (Python, Go, or similar)
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Extensive experience designing, building, and maintaining large-scale data pipelines (8+ years)
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Deep understanding of distributed systems (Spark, Kafka, or similar)
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Extensive experience with data storage technologies (data lakes, warehouses, object stores like S3)
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Experience running and maintaining production-grade infrastructure (Kubernetes, Terraform)
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Bonus: Experience supporting AI systems, in particular embodied AI like self-driving
Is this one actually worth your time?
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