Data Infrastructure

Genesis; Paris; Presencial; EUR 120.000 - 160.000; Jornada completa

Descripción de la vacante

Genesis in Paris, France, is seeking a staff backend engineer to design and scale data pipelines for robotics AI. You will own data infrastructure that underpins model training and evaluation at petabyte scale, leveraging Python or Go and modern data technologies.

You’ll collaborate with a tight-knit team to unify data models across teleoperation and synthetic simulation datasets, building robust, production-grade systems using Spark, Kafka, Kubernetes, and Terraform.

Formación

• 8+ years of experience designing and building large-scale data pipelines.
• Proficient in Python or Go.
• Strong knowledge of distributed systems (Spark, Kafka).
• Experience with data storage technologies (data lakes, data warehouses, object stores).
• Experience operating production-grade infrastructure (Kubernetes, Terraform).

Responsabilidades

• Design, build, and maintain large-scale data pipelines for robotics foundation model training at petabyte scale.
• Own core data infrastructure: data model, storage, ingestion, transformation, and orchestration.
• Standardize data models and unify pipelines across real-world teleoperation and synthetic simulation datasets.
• Collaborate with a team building general-purpose Physical AI.

Conocimientos

Python

Go

Distributed systems

Data pipelines design

Herramientas

Spark

Kafka

S3

Data lakes

Data warehouses

Kubernetes

Terraform

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