Compute Orchestration & Scheduling
Microsoft
- Location: Enfield, Greater London London
- Type: Permanent
- Employment Type: Full-time
Develop and tune the compute infrastructure stack allocating NVIDIA Grace Blackwell (GB) and Vera Rubin (VR) resources to AI workloads. Scale GPU clusters across hardware generations to thousands of accelerators and beyond. Use operational data and workload insights to inform the compute (GPU and CPU) roadmap for large-scale AI research. Partner with model-development teams to improve the infrastructure used to train and serve AI models. Find practical ways around roadblocks and deliver improvements rapidly, iterating with users in a fast-paced, design-driven environment.
A bachelor's degree in computer science or a related technical field and at least six years of engineering experience writing code in languages such as C, C++, Python, Go, or JavaScript; or equivalent practical experience. Significant additional engineering experience, with a master's degree or equivalent practical experience, building production software and distributed systems. Experience with Ray, Kubernetes, Kueue, Volcano, or another AI-focused system for scheduling, scaling, or fault tolerance is especially relevant.
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Compute Orchestration & Scheduling employer: Nvidia
NVIDIA is a leading innovator in the tech industry, renowned for its commitment to fostering a diverse and inclusive work environment where creativity thrives. As an AI Natives Sales Account Manager, you'll benefit from competitive salaries, comprehensive benefits, and unparalleled opportunities for professional growth while working at the forefront of AI technology in the UK. Join us to make a meaningful impact and be part of a team that values your contributions and encourages innovation.
