| Microsoft Careers

Microsoft

Quick summary

Work type
On-site
Location
Redmond, WA
Salary
$119,800–$234,700 / yr
Posted
66 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $181k
This role $177k
$106k most similar roles pay here $248k

This role pays more than 59% of similar roles. Most pay $155,000–$207,350 — the shaded band above. At the midpoint, this role pays about $177k versus about $181k for comparable roles.

Based on 238 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 1103 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 985 roles with salary data.

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View all roles at Microsoft

At a glance

TL;DR · | Microsoft Careers

The Senior Software Engineer - AI Infrastructure (Scheduler) role within the Azure AI Platform organization focuses on developing and maintaining the scheduler subsystem that governs access to GPU and NPU capacity across Azure’s global infrastructure. This critical system ensures optimal hardware utilization while supporting diverse workload needs from internal teams like Microsoft Research and Bing WebXT. The position involves designing, implementing, and testing distributed services in C# using Service Fabric or Kubernetes clusters, ensuring high stability, efficiency, and security. Key responsibilities include operational support, collaboration with cross-functional teams, and fostering technical leadership within the team. Candidates should have advanced knowledge of C#, experience with large-scale distributed systems, proficiency in complex data structures, and a strong background in AI infrastructure and workload management.

What you'll do

  • Design and develop core AI Infrastructure distributed services for large-scale AI training and inferencing.
  • Enhance control plane services to ensure high stability, efficiency, and low latency in cloud environments.
  • Provide operational support and act as DRI (on-call) for critical service maintenance.
  • Foster a deep understanding of machine learning concepts and use cases among team members.
  • Develop and maintain complex data structures and algorithms for resource allocation and scheduling.
  • Ensure rigorous testing and quality mindset throughout the development lifecycle.

What we're looking for

  • Bachelor's Degree in Computer Science or related field with 4+ years of technical experience.
  • Advanced knowledge of C# and .Net, including proficiency in OOP and design patterns.
  • Experience managing large-scale distributed systems, concurrency, and stateful resource management.
  • Hands-on experience with public cloud services at the IaaS level and Kubernetes/AKS clusters.
  • Demonstrated expertise in building high-availability global services and critical control plane services.
  • Proficiency in unit testing, testability techniques, and data structures for complex systems.
  • Experience with AI infrastructure, workload management, and technical leadership contributions.

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