CareerPlan

Compute Orchestration & Scheduling

United Kingdom, London, LondonFull-time2026-10-07 → 2026-11-09

Core

Develop and tune compute infrastructure stacks allocating NVIDIA Grace Blackwell and Vera Rubin resources to AI workloads, scaling GPU clusters to thousands of accelerators.

Role type

Senior IC compute infrastructure engineer (AI workloads)

Builds

GPU clusters and compute infrastructure for large-scale AI research and model training

Domain

AI infrastructure, distributed systems, high-performance computing

Deliverable

production ML models

Required skills

C, C++, Python, Go, JavaScript, distributed systems, GPU cluster management, operational data analysis, rapid iteration

Preferred skills

Ray, Kubernetes, Kueue, Volcano, AI-focused scheduling systems

Technologies

NVIDIA Grace Blackwell, NVIDIA Vera Rubin, Ray, Kubernetes, Kueue, Volcano

Responsibilities

Develop and tune compute infrastructure stacks, scale GPU clusters across hardware generations, inform compute roadmap using operational data, partner with model-development teams, deliver rapid improvements

Seniority

Senior, hands-on IC