AI Infrastructure Systems Engineer (Amsterdam & London)
At a glance
Mid-level ML Platform & Ops role at Together AI. Amsterdam.
Pay not stated ML Platform & Ops salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build software to bring GPU clusters online, check them, upgrade them, fix faults and retire them with little manual work
- Create AI agents that handle infrastructure rollouts, investigate failures, sort incidents and apply fixes autonomously
- Monitor hardware, firmware, networks, storage, temperatures and workloads to spot likely failures before customers are affected
- Develop validation tools for accelerators, interconnects, storage and distributed AI workloads, while improving GPU uptime and efficiency
- Work with hardware, networking, platform and AI teams to improve deployment speed and operational reliability
What you bring
- At least three years building distributed systems, infrastructure platforms or large-scale backend software
- Strong coding ability in Python, Go or Rust, plus experience creating platforms, automation or developer infrastructure
- Hands-on knowledge of Linux, Kubernetes, Terraform, Ansible or comparable infrastructure technologies
- You can reason across hardware and software, and look to replace repeated manual tasks with automated systems
Who this fits
This mid-level role suits a software-focused infrastructure engineer who prefers building automation to operating systems through dashboards. You can work hybrid from the Amsterdam office or remotely from the UK.
From the employer
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.