Data Infrastructure

Genesis; Paris; Presencial; EUR 120.000 - 180.000; Jornada completa

Descripción de la vacante

Genesis is hiring to design, build, and maintain data pipelines for robotics foundation model training at petabyte scale in Paris. You’ll own core data infrastructure, from models and storage to ingestion and orchestration, enabling real-world teleoperation and synthetic simulation data.

We value deep knowledge of distributed systems and Python/Go software engineering, with 8+ years in data pipeline work. You’ll collaborate with a driven team to advance physical AI capabilities.

Formación

• 8+ years of experience designing, building, and maintaining large-scale data pipelines.
• Strong software engineering skills in Python, Go, or similar languages.
• Deep understanding of distributed systems (Spark, Kafka, or similar).

Responsabilidades

• Design, build, and maintain large-scale data pipelines for robotics foundation model training and evaluation at petabyte scale.
• Own core data infrastructure including data model, storage, 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 building general-purpose Physical AI.

Conocimientos

Python

Go

Data pipelines

Distributed systems

Spark

Kafka

Herramientas

Kubernetes

Terraform

Data storage (S3/warehouses)

Descripción del empleo

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