Compute Orchestration & Scheduling (AI)

Location: London, United Kingdom

Salary: £93,500–£161,800 per year

Company

Microsoft AI develops AI research and product infrastructure, including large-scale compute platforms for frontier models.

What you will do

• Develop and tune compute infrastructure for NVIDIA Grace Blackwell and Vera Rubin resources.
• Scale GPU clusters across hardware generations to thousands of accelerators and beyond.
• Build and improve workload scheduling, resource allocation, quota management, and fault-recovery systems.
• Use operational data and workload insights to guide the compute roadmap for large-scale AI research.
• Partner with model-development, hardware, and infrastructure teams to improve AI training and serving platforms.
• Deliver iterative infrastructure improvements and remove technical roadblocks for users.

Requirements

• Bachelor’s degree in computer science or a related technical field, plus at least six years of engineering experience, or equivalent practical experience.
• Professional programming experience with languages such as C, C++, Python, Go, or JavaScript.
• Experience building production software and distributed systems.
• Experience with cluster scheduling, scaling, or fault-tolerance systems is relevant.

Nice to have

• Master’s degree or equivalent practical experience.
• Experience with Ray, Kubernetes, Kueue, Volcano, or another AI-focused scheduling, scaling, or fault-tolerance system.

Culture & Benefits

• Close collaboration with researchers, model engineers, hardware architects, and infrastructure teams.
• Fast-paced, design-driven environment with iterative delivery.
• Benefits and additional compensation may be available depending on the role.