Senior Software Engineer | Microsoft Careers

Microsoft

Quick summary

Work type
On-site
Location
Salary
$119,800–$234,700 / yr
Posted
133 days ago
Closes
Jul 22, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $191k
This role $177k
$106k most similar roles pay here $248k

This role pays more than 52% of similar roles. Most pay $160,000–$222,000 — the shaded band above. At the midpoint, this role pays about $177k versus about $191k 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 310 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 285 roles with salary data.

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At a glance

TL;DR · Senior Software Engineer | Microsoft Careers

As a Senior Software Engineer on the HPC/AI team, you will design and build advanced networking solutions for AI training and inference in Azure Cloud. Your daily tasks include architecting high-performance communication frameworks, benchmarking and enhancing scalability of networking systems, debugging complex issues, and developing detailed design documents. You will also guide other engineers as a Designated Responsible Individual (DRI), ensuring system stability and performance through proactive monitoring and alerting. The role requires expertise in C, C++, Python, and an understanding of networking protocols like Ethernet, TCP/IP, RDMA, and gRPC, along with experience in AI-specific hardware and accelerators such as InfiniBand, ROCE, NVLink, and GPUs. You will work on large-scale systems that handle petabyte-scale data transfer and require robust observability tools for monitoring at scale.

What you'll do

  • Design and develop high-performance networking solutions for large-scale AI training.
  • Analyze and enhance the scalability of petabyte-scale data transfer systems.
  • Debug complex issues in high-performance distributed computing environments.
  • Develop and guide implementation of design documents for network infrastructure.
  • Optimize code to improve performance, maintainability, and return on investment.
  • Act as Designated Responsible Individual (DRI) for monitoring system health.
  • Stay updated with new AI trends and technical solutions to enhance product efficiency.

What we're looking for

  • 8+ years of technical engineering experience with coding in C, C++, Java, Python or equivalent.
  • In-depth understanding of networking protocols like Ethernet, TCP/IP, RDMA, gRPC.
  • Experience with network virtualization and software-defined networking (SDN).
  • Hands-on knowledge of AI-specific hardware networking technologies such as InfiniBand, ROCE.
  • Familiarity with AI accelerators like GPUs and TPUs and their interaction with networking infrastructure.
  • Proficiency in using telemetry and observability tools for large-scale network monitoring.

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