Senior Software Engineer

Microsoft

Quick summary

Work type: On-site
Location: US
Salary: $119,800–$234,700 / yr
Posted: 151 days ago
Closes: Jul 26, 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 559 roles with salary data.

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View all roles at Microsoft

At a glance

TL;DR · Senior Software Engineer

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As a Senior Software Engineer in the Azure HPC/AI team, you will contribute to designing and delivering next-generation cloud platforms that support large-scale AI training and inference workloads. Your day-to-day responsibilities include analyzing hardware/software interactions, improving functional correctness and performance of VM offerings, and collaborating with internal teams and industry partners to implement solutions. You will also develop playbooks for issue resolution and monitor system stability as a Designated Responsible Individual (DRI). The role requires expertise in languages such as C++, C#, Java, JavaScript, or Python, along with familiarity with AI infrastructure, operating systems fundamentals, virtualization technologies, and distributed systems. This position offers the opportunity to work on cutting-edge technology that powers some of the most demanding cloud computing scenarios at scale.

Skills

C C++ Python Azure Docker Kubernetes CI/CD GPU Virtualization Linux DistributedSystems HPC MLOps

What you'll do

Analyzes functionality, integration, and performance issues across the HW/SW stack for AI training platforms.
Designs and implements solutions to enhance stability and performance of VM offerings for AI workloads.
Drives internal teams or industry partners to implement improvements in VM functionalities.
Applies metrics and best practices to ensure high quality and stability of code.
Develops a playbook for issue resolution within the team.

What we're looking for

4+ years of technical engineering experience in coding with C, C++, C#, Java, JavaScript, or Python.
Bachelor's degree in Computer Science or a related technical field.
Familiarity with AI infrastructure and operating systems fundamentals.
Experience with virtualization technologies and distributed systems.
Knowledge of high performance computing and machine learning middleware.

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