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Microsoft

Compute Orchestration & Scheduling

Posted Yesterday
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Remote
Hiring Remotely in United States
120K-304K Annually
Senior level
Remote
Hiring Remotely in United States
120K-304K Annually
Senior level
Design and build compute orchestration and scheduling on Kubernetes and Ray for large-scale AI model training and inference. Tune and benchmark pretraining software on Nvidia GB200 and AMD MIxxx GPU clusters, improve cluster efficiency, enable observability and reliability, collaborate with research and framework teams, and influence architecture and roadmap for Copilot and foundational models.
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Overview

Microsoft AI is looking for a Member of Technical Staff, Compute Orchestration & Scheduling to help build the next wave of capabilities of our personalized AI assistant, Copilot. We’re looking for someone who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective. The right candidate enjoys building world-class consumer experiences and products in a fast-paced environment. You will actively contribute to the development of AI models that are powering our innovative products. You will wear multiple hats and work on engineering, research, and everything in between. Your contributions will span model architecture, data curation, training and inference infrastructures, evaluation protocols, alignment and reinforcement learning from human feedback (RLHF), and many other exciting topics at the cutting edge of AI.  


Microsoft AI is building foundational models to develop novel responsible and efficient artificial general intelligence. The foundational models require large compute-capacity, and as a Member of Technical Staff, Compute Orchestration & Scheduling you would be responsible for designing and building our compute orchestration and scheduling layer on top of Kubernetes and Ray, working on everything from workload placement and scaling to reliability and developer experience. You’ll work closely with research and framework teams to turn their requirements into scalable abstractions, improve cluster efficiency, and ensure our compute platform is observable, and easy to operate in production. As a contributing member of the core group of engineers, you would also bring to the table best practices driving architectural changes and influence roadmap of relevant software and hardware components. Your work will directly impact the business goals of a wide range of users and facilitate the next wave of growth and innovation in AI.  

Starting January 26, 2026, MAI 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
  • Develop and tune the pretraining scalable software for Nvidia GB200 72NVL CX8 and AMD MIxxx architectures

  • Benchmark GB200 and AMD MIxxx GPU clusters

  • Gather data and insights to develop the pretraining compute roadmap

  • Care deeply about conversational AI and its deployment 

  • Actively contribute to the development of AI models that are powering our innovative products  

  • Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively

  • Enjoy working in a fast-paced, design-driven, product development cycle

  • Embody our Culture and Values


Qualifications

Required Minimum Qualifications

  • Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
    • OR equivalent experience.
 
Additional Preferred Qualifications
 
  • Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
    • OR equivalent experience.

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

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.

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


This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.



Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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