Data Infrastructure

Genesis AI
London
Workplace: HybridFull timeFunction: DevOps, Cloud & InfrastructureExperience: 8+ yearsSkills: ["Collaboration"]

Design, build, and maintain large-scale batch and streaming data pipelines to support robotics foundation model training and evaluation at petabyte scale. Own core data infrastructure including data models, storage, ingestion, transformation frameworks, and orchestration, and standardize data models across teleoperation and synthetic simulation datasets. Collaborate with an engineering team focused on general-purpose Physical AI, using distributed systems and production infrastructure practices.

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FursaFursa
Genesis AI
Genesis AI
2 days ago

Data Infrastructure

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Design, build, and maintain large-scale batch and streaming data pipelines to support robotics foundation model training and evaluation at petabyte scale. Own core data infrastructure including data models, storage, ingestion, transformation frameworks, and orchestration, and standardize data models across teleoperation and synthetic simulation datasets. Collaborate with an engineering team focused on general-purpose Physical AI, using distributed systems and production infrastructure practices.
Location: London
Workplace: Hybrid
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure

Key Responsibilities

  • •Design, build, and maintain large-scale batch and streaming data pipelines for robotics foundation model training and evaluation at petabyte scale.
  • •Own core data infrastructure including data model, storage systems, ingestion pipelines, transformation frameworks, and orchestration layers.
  • •Standardize data models and unify processing pipelines across teleoperation and synthetic simulation datasets.
  • •Collaborate with a team building general-purpose Physical AI.
  • •Maintain and evolve data infrastructure systems over time in production environments.

Key Requirements

  • •Strong software engineering skills in Python, Go, or similar.
  • •8+ years designing, building, and maintaining large-scale data pipelines.
  • •Deep understanding of distributed systems (e.g., Spark, Kafka).
  • •Experience with data storage technologies such as data lakes, warehouses, and object stores (e.g., S3).
  • •Experience running and maintaining production-grade infrastructure using Kubernetes and Terraform.
Experience:8+ yearsRoboticsAI systemsEmbodied AIPhysical AIData infrastructure
Skills:Collaboration
Tech Stack:PythonGoSparkKafkaS3KubernetesTerraform

Company Brief

Genesis AI
Genesis AI is a global physical AI research lab and full‑stack robotics company building a universal robotics foundation model and horizontal platform to enable general‑purpose robots and scale automation of physical labor.
Industry: AI & Machine Learning
Company Size: Small (11 to 50 employees)
Growth: Early Stage Startup
Funding: Seed
Headquarters: Paris, France
Founded: 2024
WebsiteLinkedIn