Data Infrastructure

Genesis AI
United States
Workplace: OnsiteFull timeFunction: Software EngineeringExperience: 8+ yearsSkills: ["Collaboration","Ownership","Standardization"]

Design, build, and maintain large-scale batch and streaming data pipelines supporting robotics foundation model training and evaluation at petabyte scale. Own core data infrastructure including data modeling, storage systems, ingestion, transformation frameworks, and orchestration. Standardize and unify processing pipelines across teleoperation and synthetic simulation datasets, and collaborate with a team focused on general-purpose Physical AI.

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FursaFursa
Genesis AI
Genesis AI
4 months 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: 6 hours agoStatus: Live

Job Summary

Design, build, and maintain large-scale batch and streaming data pipelines supporting robotics foundation model training and evaluation at petabyte scale. Own core data infrastructure including data modeling, storage systems, ingestion, transformation frameworks, and orchestration. Standardize and unify processing pipelines across teleoperation and synthetic simulation datasets, and collaborate with a team focused on general-purpose Physical AI.
Location: United States
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

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 committed to building general-purpose Physical AI.

Key Requirements

  • •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).
Experience:8+ yearsRoboticsAIDistributed systemsData engineeringStreaming
Skills:CollaborationOwnershipStandardization
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