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Senior/Staff Compute Platform Engineer (Multi-Cloud GPU Clusters)

United Kingdom
Visa Sponsorship Relocation
This Job is No Longer Active This position is no longer accepting applications
AI Summary

Join a cutting-edge AI company backed by NVIDIA to scale and optimize multi-cloud GPU clusters. Build tooling for scheduling, remediation, and node health. Debug GPU/NCCL performance at cluster scale and improve observability, storage, and infrastructure reliability.

Key Highlights
Scale and optimize multi-cloud GPU clusters
Build tooling for scheduling, remediation, and node health
Debug GPU/NCCL performance at cluster scale
Improve observability, storage, and infrastructure reliability

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Key Responsibilities
Scale and optimise multi-cloud GPU clusters
Build tooling for scheduling, remediation, and node health
Debug GPU/NCCL performance at cluster scale
Improve observability, storage, and infrastructure reliability
Technical Skills Required
Kubernetes GPU Infrastructure NCCL Distributed Systems High-Performance Storage

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Benefits & Perks
Full visa sponsorship
Relocation support
Meaningful startup equity

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Nice to Have
Experience with NVIDIA Blackwell chips (B200, B300, GB200, GB300)

Job Description

🚀 Senior / Staff Compute Platform Engineer

📍 London (Onsite) | 🌍 Visa Sponsorship + Relocation

Join a frontier AI company backed by NVIDIA, building large-scale open-weight foundation models alongside researchers and engineers from DeepMind, OpenAI, Meta, Anthropic, and Google Brain.

⚡ What You’ll Do

  • Scale and optimise multi-cloud GPU clusters
  • Build tooling for scheduling, remediation, and node health
  • Debug GPU/NCCL performance at cluster scale
  • Improve observability, storage, and infrastructure reliability

🔧 What They’re Looking For

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Job Overview
Posted May 07, 2026
Employment Full-time
Experience Mid-Senior level
Location United Kingdom
Category Programming
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