AI Infrastructure Systems Engineer

Together AI

Amsterdam

On-site

EUR 90,000 - 150,000

Full time

14 days+

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Benefits offered by this job

Competitive health insurance
Mental health support
Dental and vision insurance
Income protection & retirement
Pre-tax benefits

Job summary

Together AI in Amsterdam is building and operating one of the world’s largest GPU fleets for frontier model training and inference. You’ll design automation to provision, validate, deploy, upgrade, repair, and retire GPU clusters with minimal human intervention.

You will help create AI infrastructure agents, fleet intelligence platforms, and internal tools to manage tens of thousands of GPUs autonomously, collaborating across hardware, networking, and AI teams.

Qualifications

  • 3+ years building distributed systems or large-scale backend software
  • Strong systems thinking across hardware and software
  • Experience with Linux, Kubernetes, Terraform, Ansible
  • Proficient in Python, Go or Rust
  • Experience building automation platforms or developer infra
  • Interest in GPU infrastructure and AI training/inference clusters

Responsibilities

  • Design and build fleet automation systems for GPU clusters with minimal human intervention
  • Develop AI Infrastructure Agents for deployment, failures, incident triage, and remediation
  • Create Fleet Intelligence platforms monitoring hardware health and performance
  • Build software that maximizes GPU availability, utilization, performance, and reliability
  • Collaborate with hardware, networking, platform, and AI teams to push AI infra limits

Skills

Distributed systems
Automation
Python
Go
Rust
Linux
Performance
Scalability

Tools

Kubernetes
Terraform
Ansible
InfiniBand/RoCE
NVLink/NVSwitch

Job description

  • 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
  • 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
Benefits
  • Competitive health insurance plans
  • Mental health support and services
  • Dental and vision insurance
  • Income protection & retirement
  • Pre-tax flexible spending accounts
  • STD & LTD insurance
  • 401(k) plan
  • AD&D insurance
  • Life insurance
  • Monthly team lunches
  • Team-driven celebrations and events
  • Flexible time off policy
  • Monthly commuting stipend + pre-tax bene

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 talk3+ years building distributed systems, infrastructure platforms, or large-scale backend softwareStrong systems thinking with the ability to understand problems across hardware and softwareA passion for solving complex infrastructure challenges through softwareExperience with Linux, Kubernetes, Terraform, Ansible, or similar infrastructure technologiesStrong software engineering skills in Python, Go, or RustExperience building platforms, automation systems, or developer infrastructureAn automation-first mindset—if a task is repeated, your instinct is to build a system to eliminate itLove building systems that replace repetitive operational workWant to build technology that powers frontier AI modelsEnjoy solving hard problems with no existing playbookThink of infrastructure as a software engineering problemCare deeply about performance, reliability, and scaleYou’ll Thrive Here If You:GPU infrastructure, CUDA, NCCL, NVLink/NVSwitchAI agents and autonomous infrastructure operationsBare-metal provisioning and lifecycle managementDistributed storage systemsInfiniBand or RoCE networkingHardware health monitoring and predictive failure detectionLarge-scale AI training or inference clusters

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