Member of Technical Staff, Compute Orchestration & Scheduling - MAI Superintelligence Team | Microsoft Careers

Microsoft

Closes in 2 days Hybrid

Quick summary

Work type
Hybrid
Location
Salary
$139,900–$274,800 / yr
Posted
177 days ago
Closes
Jun 6, 2026 (soon)

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Competitive pay

How this pay compares to similar roles

Similar $193k
This role $207k
$124k most similar roles pay here $291k

This role pays more than 65% of similar roles. Most pay $168,462–$217,906 — the shaded band above. At the midpoint, this role pays about $207k versus about $193k for comparable roles.

Based on 240 similar postings.

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About Microsoft

Microsoft Corporation is a global technology leader producing software, hardware, and cloud services including Windows, Office 365, Azure cloud platform, Xbox gaming, and Surface devices. Industry: Software & Cloud Computing

Microsoft currently has 571 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 522 roles with salary data.

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TL;DR · Member of Technical Staff, Compute Orchestration & Scheduling - MAI Superintelligence Team | Microsoft Careers

As a Member of Technical Staff in Compute Orchestration & Scheduling at Microsoft AI’s Superintelligence Team, you will play a pivotal role in advancing our personalized AI assistant, Copilot. Your responsibilities include designing and building the compute orchestration layer on Kubernetes and Ray, focusing on workload placement, scaling, reliability, and developer experience. You’ll collaborate closely with research teams to create scalable abstractions that enhance cluster efficiency and observability, ensuring smooth operation in production environments. Utilizing your expertise in large-scale AI infrastructure, you will develop and tune pretraining software for Nvidia GB200 and AMD MIxxx architectures, benchmark GPU clusters, and gather insights to shape the compute roadmap. This role demands proficiency in Kubernetes, Ray, Python, and a deep understanding of distributed systems, alongside experience with AI model development and training infrastructures. Your work will significantly impact business goals and drive innovation across Microsoft’s expansive user base.

What you'll do

  • Design and build compute orchestration and scheduling layer on Kubernetes and Ray.
  • Work closely with research teams to turn requirements into scalable abstractions.
  • Improve cluster efficiency and ensure the compute platform is observable and operable.
  • Gather data and insights to develop pretraining compute roadmap for GPU architectures.
  • Actively contribute to the development of AI models powering innovative products.

What we're looking for

  • Extensive experience in designing and building compute orchestration and scheduling layers on Kubernetes and Ray.
  • Proven track record of developing scalable software for Nvidia GB200 and AMD MIxxx GPU architectures.
  • Expertise in benchmarking GPU clusters to optimize performance and efficiency.
  • Strong background in gathering data and insights to inform pretraining compute roadmaps.
  • Experience in contributing to AI model development, including architecture, training, and inference infrastructures.

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