GPU Fleet Automation Engineer — AI Infra (Hybrid/Remote UK)

Together AI; Amsterdam; Hybrid; EUR 90,000 - 130,000; Full time

Job summary

Together AI, the AI Native Cloud, is seeking engineers to build and operate one of the world’s largest GPU fleets used for frontier model training and inference. You’ll design systems that automate provisioning, validation, deployment, and remediation across thousands of GPUs, with a strong emphasis on reliability and scale.

This hybrid role offers Amsterdam office or UK remote options, and you’ll collaborate with hardware, networking, and AI teams to push the boundaries of AI infrastructure

Qualifications

• 3+ years building distributed systems, infrastructure platforms, or large-scale backend software.
• Strong software engineering skills in Python, Go, or Rust.
• Experience building platforms, automation systems, or developer infrastructure.
• Experience with Linux, Kubernetes, Terraform, Ansible, or similar infrastructure technologies.
• Strong systems thinking with the ability to understand problems across hardware and software.
• A passion for solving complex infrastructure challenges through software.
• An automation-first mindset—if a task is repeated, your instinct is to build a system to eliminate it.

Responsibilities

• Design and build fleet automation systems that provision, validate, deploy, upgrade, repair, and retire GPU clusters with minimal human intervention.
• Build AI Infrastructure Agents that automate deployment, root-cause failures, incident triage, and autonomous remediation.
• Develop Fleet Intelligence platforms that monitor hardware health, firmware, networking, storage, thermals, and workload performance to predict failures before they impact customers.
• Build software that maximizes GPU availability, utilization, performance, and reliability across thousands of accelerators.
• Create automated validation systems for GPUs, InfiniBand/RoCE fabrics, NVLink/NVSwitch, storage, and distributed AI workloads.
• Build internal platforms and developer tools that allow infrastructure to be managed through software—not manual operations.
• Continuously improve deployment velocity, reliability, and operational efficiency through automation.
• Partner closely with hardware, networking, platform, and AI teams to push the limits of AI infrastructure.

Skills

Distributed systems

Python

Go

Rust

Automation mindset

Tools

Linux

Kubernetes

Terraform

Ansible

Job description

Together AI, the AI Native Cloud, is seeking engineers to build and operate one of the world’s largest GPU fleets used for frontier model training and inference. You’ll design systems that automate provisioning, validation, deployment, and remediation across thousands of GPUs, with a strong emphasis on reliability and scale.

This hybrid role offers Amsterdam office or UK remote options, and you’ll collaborate with hardware, networking, and AI teams to push the boundaries of AI infrastructure