Member of Technical Staff, Compute Orchestration & Scheduling
Microsoft
Member of Technical Staff, Compute Orchestration & Scheduling
Microsoft
Builds workplace software, PCs and cloud services
Overview
Microsoft AI is looking for a Member of Technical Staff, Compute Orchestration & Scheduling, to help build the next generation of AI infrastructure powering frontier model development. The Compute Orchestration & Scheduling team own cluster orchestration, workload scheduling, resource allocation, quota management, and the systems that enable fast initialization and reliable fault recovery for Ray and Kubernetes workloads running on next-generation GPU supercomputers.
Our team develops the systems required to make AI infrastructure ready for the next generation of distributed training and inference workloads, spanning multiple locations with a massive and rapidly growing fleet of advanced accelerators across multiple hardware generations, including NVIDIA Grace Blackwell, Vera Rubin, and/or AMD GPU platforms, as well as accompanying CPU, Network and Storage infrastructure.
Key challenges include topology-aware placement, large-scale distributed training, fast and reliable initialization of Ray and Kubernetes environments, rapid fault recovery for long-running AI jobs, deep observability into cluster behavior, and continuously improving utilization across increasingly large accelerator fleets. Every improvement in scheduling efficiency, platform reliability, and cluster utilization directly increases the effective compute available for frontier AI research and product development.
You'll wear multiple hats and partner closely with researchers, model engineers, hardware architects, and infrastructure teams to translate the needs of frontier model development into scalable platform capabilities. You'll be expected to find paths around roadblocks, get solutions into users' hands quickly and iteratively, and thrive in a fast-paced, design-driven product development environment. We are looking for engineers who are excited by challenging systems problems, comfortable operating in ambiguous environments, and motivated by building infrastructure that directly accelerates frontier AI model development.
Microsoft AIMAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.
Responsibilities
Qualifications
Required Minimum Qualifications
Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200 - $261,000 per year.
Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
Microsoft builds workplace software, operating systems and cloud infrastructure for consumers, businesses and government agencies, from small organizations to global enterprises. Microsoft 365 combines Word and Excel with Teams communication and Copilot AI features, while Windows runs PCs and Surface supplies the company's own computers. Azure rents computing capacity, storage and databases to build and run web applications. Microsoft also sells Xbox consoles and games, collecting revenue through software licenses, subscriptions, usage charges and product sales. Founded in 1975 by Bill Gates and Paul Allen, Microsoft is headquartered in Redmond, Washington.
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