Data Infrastructure

Genesis AI
Paris, 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 across data models, storage, ingestion, transformations, and orchestration, then standardize models to unify processing across real-world teleoperation and synthetic simulation datasets. Collaborate with a team focused on general-purpose Physical AI, combining distributed systems and production-grade infrastructure to deliver reliable data platforms.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Genesis AI
Genesis AI
4 months ago

Data Infrastructure

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 23 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 across data models, storage, ingestion, transformations, and orchestration, then standardize models to unify processing across real-world teleoperation and synthetic simulation datasets. Collaborate with a team focused on general-purpose Physical AI, combining distributed systems and production-grade infrastructure to deliver reliable data platforms.
Location: Paris, 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 models, 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 and deliver reliable data infrastructure.
  • •Maintain and improve the data infrastructure components used by training and evaluation pipelines.

Key Requirements

  • •Excellent software engineering skills in Python, Go, or similar languages.
  • •8+ years designing, building, and maintaining large-scale data pipelines for batch and streaming workloads.
  • •Deep understanding of distributed systems using Spark, Kafka, or similar technologies.
  • •Experience with data storage technologies such as data lakes, warehouses, and object stores like S3.
  • •Experience running and maintaining production-grade infrastructure with Kubernetes and Terraform.
Experience:8+ yearsRoboticsEmbodied AIPhysical AIFoundation modelsDistributed systemsData engineering
Skills:Collaboration
Tech Stack:PythonGoSparkKafkaData lakesData warehousesS3KubernetesTerraformBatch data pipelinesStreaming data pipelinesOrchestration

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