Member of Technical Staff, Compute Orchestration & Scheduling (AI)

Location: Mountain View, United States; designated Microsoft office attendance at least four days per week for employees living within the applicable distance

Salary: USD $119,800–$234,700 per year across the U.S. for IC4 roles; higher ranges apply to IC5 and specific locations.

Company

Microsoft AI develops AI systems intended to advance science, education, productivity, and global well-being.

What you will do

• Develop and tune scalable pretraining software for NVIDIA Grace Blackwell, Vera Rubin, and AMD MIxxx architectures.
• Scale GPU clusters beyond thousands of GPUs and improve compute utilization.
• Build orchestration, workload scheduling, resource allocation, quota management, initialization, and fault-recovery systems for Ray and Kubernetes workloads.
• Collect data and insights to shape GPU and CPU compute roadmaps for large-scale AI labs.
• Collaborate with researchers, model engineers, hardware architects, and infrastructure teams to deliver scalable platform capabilities.
• Contribute to AI models powering Microsoft AI products and iterate quickly on solutions for users.

Requirements

• Bachelor's degree in Computer Science or a related technical field and 6+ years of technical engineering experience with coding.
• Experience with one or more of C, C++, Python, Go, or JavaScript, or equivalent experience.
• Ability to work from the Mountain View, United States office at least four days per week when within the applicable commuting distance.
• Strong systems engineering experience involving large-scale distributed infrastructure, scheduling, scaling, or fault tolerance.

Nice to have

• Master's degree and 8+ years of technical engineering experience, or bachelor's degree and 12+ years of experience.
• Expertise in Ray, Kubernetes, Kueue, Volcano, or another AI-focused scheduling, scaling, or fault-tolerance system.

Culture & Benefits

• Fast-paced, design-driven product development environment.
• Opportunity to work on infrastructure supporting frontier AI research and product development.
• Close collaboration across research, model engineering, hardware, and infrastructure disciplines.
• Benefits and additional compensation may be available depending on role eligibility.