AI Infrastructure Systems Engineer (Amsterdam & London)

Together Ai
Amsterdam, NY, United States
1 day ago
Apply on www.careerbuilder.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours

Tech stack

Artificial Intelligence Systems Engineering Computer Clusters Nvidia CUDA Linux Programming Tools Distributed Data Store Distributed Systems Firmware Home Automation InfiniBand Python (Programming Language)
+11 more
Ansible Software Engineering AI Infrastructure Graphics Processing Unit (GPU) Backend Agentic-AI Build Management Kubernetes Bare Metal Hardware Infrastructure Terraform

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.

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

Systems Engineering, Artificial Intelligence (AI), Building Systems, Artificial Intelligence (AI), GPU (Graphics Processing Unit), Vehicle Fleets, Problem Solving Skills, Home Automation, Reporting Dashboards, Software Development, * 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 the company

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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.careerbuilder.com
Prepare application

Good distractions

Loading talks and stories from around this role…