Senior Software Engineer

Microsoft

Quick summary

Work type
On-site
Location
US
Salary
$119,800–$234,700 / yr
Posted
155 days ago
Closes
Jul 22, 2026
Nearby
93 roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $186k
This role $177k
$106k most similar roles pay here $248k

This role pays more than 57% of similar roles. Most pay $153,440–$217,725 — the shaded band above. At the midpoint, this role pays about $177k versus about $186k 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 622 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 571 roles with salary data.

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At a glance

TL;DR · Senior Software Engineer

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As a Senior Software Engineer on the HPC/AI team, you will design and develop high-performance networking solutions for AI training infrastructure, focusing on low-latency communication frameworks and scalability. Your day-to-day involves benchmarking, analyzing, and enhancing network systems to manage petabyte-scale data transfers, debugging complex issues in large environments, and staying updated with emerging AI trends. The role requires expertise in C, C++, C#, Java, JavaScript, or Python, along with a deep understanding of networking protocols like Ethernet, TCP/IP, RDMA, and gRPC. Familiarity with network virtualization, software-defined networking, and AI-specific hardware such as InfiniBand and NVLink is essential, alongside experience with telemetry tools for large-scale monitoring and observability.

Skills

Python C C++ Java JavaScript Ethernet TCP/IP RDMA gRPC SDN InfiniBand ROCE NVLink GPUs TPUs Telemetry Observability Distributed Systems

What you'll do

  • Design and optimize high-performance networking solutions for AI training infrastructure.
  • Implement low-latency communication frameworks for efficient distributed system operations.
  • Enhance scalability and reliability of petabyte-scale data transfer systems.
  • Debug complex networking issues in large-scale, high-performance computing environments.
  • Stay updated with new AI trends to improve product performance and efficiency.

What we're looking for

  • 4+ years of technical engineering experience with coding in C, C++, C#, Java, JavaScript, or Python.
  • Bachelor's Degree in Computer Science or related field.
  • In-depth understanding of networking protocols like Ethernet, TCP/IP, RDMA, and gRPC.
  • Experience with network virtualization, software-defined networking (SDN), and performance tuning.
  • Hands-on experience with AI-specific hardware networking technologies such as InfiniBand, ROCE, NVLink.
  • Familiarity with AI accelerators like GPUs and TPUs and their interaction with networking infrastructure.
  • Experience with telemetry and observability tools for network monitoring at scale.

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