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.
Compute Orchestration & Scheduling in London employer: NVIDIA Corporation
NVIDIA stands out as an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration among talented professionals. With a strong commitment to diversity and inclusion, employees benefit from competitive salaries, comprehensive benefits, and ample opportunities for personal and professional growth, all while contributing to groundbreaking advancements in AI and technology. Joining NVIDIA means being part of a mission-driven team that values creativity and empowers individuals to make a significant impact in the tech industry.
