Software Engineer II and Sr. Software Engineer - AI Frameworks | Microsoft Careers

Microsoft

Hybrid

Quick summary

Work type: Hybrid
Location: Redmond, WA · Mountain View, CA · Boston, MA · New York, NY
Salary: $102,100–$202,200 / yr
Posted: 7 days ago
Closes: Nov 25, 2026

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $173k

This role $152k

$88k most similar roles pay here $238k

This role pays less than 64% of similar roles. Most pay $149,800–$196,750 — the shaded band above. At the midpoint, this role pays about $152k versus about $173k 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 728 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 664 roles with salary data.

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At a glance

TL;DR · Software Engineer II and Sr. Software Engineer - AI Frameworks | Microsoft Careers

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Join the AI Frameworks team at Microsoft as a Software Engineer where you will contribute to cutting-edge projects like ONNX, ONNX Runtime, and Foundry Local, impacting millions of users daily. Your role involves designing, implementing, and testing components for our AI/ML frameworks, optimizing system performance, and collaborating with both internal teams and external partners. You will work on a variety of technologies including C++, Python, and other languages to enhance the efficiency and scalability of our software solutions across diverse hardware ecosystems. This position requires 2+ years of experience in coding with languages such as C, C++, C#, or Python, while preferred candidates have additional expertise in AI frameworks, distributed computation, system programming, and performance optimization.

Skills

Python C++ C# ONNX ONNX Runtime Foundry Local Linux Windows Docker CI/CD Git REST API SDK CLI Android Open-Source System Performance Optimization

What you'll do

Design, implement, and test functions or components for AI/ML frameworks like ONNX and ONNX Runtime.
Optimize key system components to enhance performance and efficiency in production environments.
Develop high-performance ML inferencing solutions for on-device use with Foundry Local.
Provide technical support and engage with both internal and external partners regarding AI/ML tools.
Collaborate on systems performance optimization projects to improve overall framework efficacy.

What we're looking for

Bachelor's degree in computer science or related field and 2+ years of technical engineering experience.
Proficiency in coding languages such as C, C++, C#, Python.
4+ years of experience in AI frameworks, large scale distributed computation, system programming, compiler, or machine learning (ML).
Experience building Android applications from scratch.
Expertise in systems performance optimization and working with open-source code.
Strong track record of collaborating effectively with cross-functional teams.

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