Senior/Staff Compute Platform Engineer (Multi-Cloud GPU Clusters)
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.
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Key Responsibilities
Technical Skills Required
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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
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- 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
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🔧 What They’re Looking For
- Strong systems engineering background
- Deep Kubernetes + GPU infrastructure experience
- Strong coding ability
- Experience with NCCL, distributed systems, and high-performance storage
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BONUS: Worked on NVIDIA Blackwell chips (B200, B300, GB200, GB300)
đź’° Package
- Salary open to candidate expectations
- Meaningful startup equity
- Full visa sponsorship + relocation support
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