| Microsoft Careers

Microsoft

Quick summary

Work type
On-site
Location
Redmond, WA
Salary
$163,000–$296,400 / yr
Posted
81 days ago
Closes
Sep 22, 2026
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $201k
This role $230k
$124k most similar roles pay here $315k

This role pays more than 76% of similar roles. Most pay $177,250–$225,500 — the shaded band above. At the midpoint, this role pays about $230k versus about $201k for comparable roles.

Based on 240 similar postings.

Employer

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 1580 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 1408 roles with salary data.

Most-posted roles

View all roles at Microsoft

At a glance

TL;DR · | Microsoft Careers

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As a Senior Principal Engineering Manager at Microsoft Research, you will lead the development of one of the world’s largest research GPU clusters, driving the growth and cohesion of your engineering team to deliver cutting-edge AI infrastructure. Your responsibilities include recruiting top talent, setting technical vision, and ensuring high-quality project delivery while fostering an innovative culture that emphasizes agentic coding and automation. You will work closely with cross-disciplinary teams to align priorities and build scalable solutions for large-scale distributed systems, requiring expertise in GPU programming, Kubernetes, PyTorch, and HPC environments. This role demands a strong background in managing software engineering teams and delivering complex infrastructure projects, as well as experience scaling teams through growth phases.

Skills

Kubernetes CUDA PyTorch InfiniBand NVLink HPC GPU Volcano Python Networking Storage Systems Distributed Training CI/CD AWS Azure MLOps

What you'll do

  • Lead and mentor a team of engineers building world-class AI research infrastructure.
  • Recruit and develop exceptional engineering talent to build a diverse and cohesive team.
  • Set clear goals, track milestones, and ensure accountability for delivering complex projects on time.
  • Provide technical vision and judgment on architecture, strategy, and roadmap for AI infrastructure.
  • Cultivate an AI-first mentality that accelerates progress through automation and skills development.
  • Foster a culture of operational excellence, continuous improvement, and high psychological safety.

What we're looking for

  • 5+ years of people management experience leading software engineering teams.
  • Track record of driving execution on complex infrastructure projects with clear milestones.
  • Technical fluency in large-scale compute clusters, GPU infrastructure, or HPC environments.
  • Experience with GPU programming (CUDA, NCCL) and frameworks like PyTorch.
  • Expertise in networking (InfiniBand, NVLink), storage systems, or distributed training parallelisms.

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