Back to all jobs

Data Infrastructure

Genesis AI

Paris

Hybrid

Apply Now

Opens Ashby in a new tab

About this 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

Skills & Technologies

Python Simulation Kubernetes

Apply Now

Opens Ashby in a new tab

Job Details

Company: Genesis AI
Location: Paris
Work Type: Hybrid
Posted: April 30, 2026
Source freshness: Seen on employer source 16h ago

About Genesis AI

Full-stack robotics company building general-purpose robots and robotics foundation models for real-world work across industrial and service environments.

View company profile