AI & Emerging technologies

AI infrastructure engineer

LinuxRecruit

London · Greater London · United Kingdom

Overview

Join a stealth AI robotics startup as part of the AI infrastructure team and own the systems powering large-scale model training. You will architect and optimize distributed workloads across multi-node GPU clusters in AWS, tackling bottlenecks to maximize throughput and cost-effectiveness. You’ll manage cluster orchestration with Slurm and Kubernetes while evolving the platform for next-generation GPU infrastructure. Work across the full AI training stack with a world-class team in the London lab, shaping the company’s future breakthroughs. This is a high-impact, early-stage opportunity with significant ownership and influence.

Responsibilities
  • Own systems powering large-scale model training
  • Architect and optimize distributed workloads across multi-node GPU clusters in AWS
  • Remove bottlenecks in the training pipeline to maximize GPU utilization and throughput
  • Improve cost-efficiency of training workflows
  • Manage cluster orchestration with Slurm and Kubernetes
  • Evolve platform to support next-generation GPU infrastructure and specialized compute providers
  • Work across the full AI training stack from PyTorch-based frameworks to networking and storage
  • Collaborate with the London lab to influence core system design and technical direction
Key requirements
  • AWS
  • Slurm
  • Kubernetes
  • PyTorch
  • distributed training
  • high-performance infrastructure

Reference: WJ-747_31186271

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