Data Infrastructure Engineering & Research London

Genesis; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Job summary

Genesis in London is seeking an experienced software engineer to design, build, and maintain data pipelines for robotics foundation model training at petabyte scale.

You will own core data infrastructure, standardize data models, and collaborate with a team building general-purpose Physical AI. Proficiency in Python or Go and experience with Spark/Kafka are essential.

This role involves production-grade infrastructure like Kubernetes and Terraform, and bonus experience with embodied AI is a plus.

Qualifications

• 8+ years of experience designing, building, and maintaining large-scale data pipelines.
• Expertise in distributed systems such as Spark or Kafka.
• Strong experience with data storage tech like data lakes, warehouses, or S3-compatible object stores.
• Proficiency in Python or Go.

Responsibilities

• 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 building general-purpose Physical AI.

Skills

Python

Go

Data pipelines

Distributed systems

Tools

Spark

Kafka

Terraform

Kubernetes

Job description

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