AI Infra: GPU Fleet Automation Engineer

Togetherai; Amsterdam; Hybrid; EUR 90,000 - 130,000; Full time

Job summary

Together AI is building one of the world’s largest GPU fleets for frontier model training and inference. This role focuses on designing and operating scalable infrastructure, automating workflows, and eliminating manual toil.

Hybrid at the Amsterdam office or remote in the UK, you’ll join an engineering team that values reliable, scalable software for AI workloads. You’ll implement fleet automation, AI infrastructure agents, and fleet intelligence to monitor health, predict failures, and

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.
• An automation-first mindset—if a task is repeated, your instinct is to build a system to eliminate it.
• Bonus Experience GPU infrastructure, CUDA, NCCL, NVLink/NVSwitch InfiniBand or RoCE networking Bare-metal provisioning and lifecycle management Large-scale AI training or inference clusters Hardware health monitoring and predictive failure detection

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 continuously 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

Kubernetes

Terraform

Ansible

Linux

Automation

GPU infrastructure

Tools

Kubernetes

Terraform

Ansible

CUDA

Job description

Together AI is building one of the world’s largest GPU fleets for frontier model training and inference. This role focuses on designing and operating scalable infrastructure, automating workflows, and eliminating manual toil.

Hybrid at the Amsterdam office or remote in the UK, you’ll join an engineering team that values reliable, scalable software for AI workloads. You’ll implement fleet automation, AI infrastructure agents, and fleet intelligence to monitor health, predict failures, and