AI Infrastructure Systems Engineer (Amsterdam & London)

Togetherai; Amsterdam; Hybrid; EUR 120,000 - 180,000; Full time

Job summary

Together AI, the AI Native Cloud, is building and operating one of the world’s largest GPU fleets for frontier model training and inference.

This role focuses on designing fleet automation systems, AI infrastructure agents, and platforms to monitor hardware health and optimize GPU availability across thousands of accelerators. The team embraces hybrid work in Amsterdam and remote roles in the UK.

Qualifications

• 3+ years building distributed systems 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 infra tech.
• Strong systems thinking with ability to understand problems across hardware and software.
• Automation-first mindset to eliminate repetitive tasks.

Responsibilities

• Design and build fleet automation systems for GPU clusters with minimal human intervention.
• Build AI Infrastructure Agents for deployment, failure root-cause, and autonomous remediation.
• Develop Fleet Intelligence platforms monitoring hardware health, firmware, networking, and workload performance.
• Build software to maximize GPU availability, utilization, performance and reliability.
• Create automated validation systems for GPUs and high-speed fabrics and storage.
• Develop internal platforms and developer tools to manage infrastructure via software.
• Improve deployment velocity, reliability, and operational efficiency through automation.
• Partner with hardware, networking, platform, and AI teams to push AI infra limits.

Skills

Distributed systems

Python

Go

Rust

Automation

Linux

Kubernetes

Tools

Kubernetes

Terraform

Ansible

Linux

Job description

About the Role

At Together AI, you’ll build and operate one of the world’s largest GPU fleets used for frontier model training and inference. This isn’t a traditional infrastructure role—we’re looking for engineers who love building systems, automating everything, and solving problems at massive scale.

If you enjoy writing software more than clicking dashboards, obsess over eliminating manual work, and want to build infrastructure that manages tens of thousands of GPUs autonomously, we’d love to talk.

Hybrid at our office in Amsterdam or Remote in the UK.

Responsibilites

• 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.

Requirements

• 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.

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
• Distributed storage systems
• AI agents and autonomous infrastructure operations

About Together AI

Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.

Equal Opportunity

Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

Please see our privacy policy at https://www.together.ai/privacy.