Responsibilities
- Define and drive the technical vision, architecture, and roadmap for key components of the Windows ML compiler stack.
- Lead cross-team initiatives that improve AI workload performance, scalability, and efficiency across CPU, GPU, and NPU hardware.
- Drive NPU enablement strategy and advanced optimization techniques for next-generation AI processors.
- Partner with hardware vendors and internal platform teams to influence future AI hardware and software capabilities.
- Design and develop high-performance compiler infrastructure, execution engines, and developer tooling.
- Identify and solve complex systems challenges involving scheduling, memory management, code generation, graph optimization, and hardware abstraction.
- Mentor and support engineers across experience levels and provide technical leadership across multiple projects and organizations.
- Help shape Microsoft's long-term strategy for on-device AI and generative AI execution on Windows.
Qualifications
Required Qualifications:
- Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.
- OR equivalent experience.
- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Preferred Qualification:
- Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.
- 6+ years of experience working at low levels of software stack, device driver development, and/or integration of hardware and software
- Deep knowledge with hands-on experience in ML compiler, tool, and platform technology.
- 10+ years of experience delivering world-class system software.
- In-depth experience and knowledge in operating system development in either user-mode or kernel-mode driver development.
- A proven track record of significant technical leadership in research and development of AI platforms or frameworks technology.
- Prior experience in the design and development of ML hardware microarchitecture in real-world products.
- Proficient communication/customer interfacing skills and the ability to deal with ambiguity and prioritize issues.
Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
Skills Required
- Bachelor's degree in Computer Science or a related technical field, or equivalent experience
- 6+ years of technical engineering experience with coding in languages including C, C++, C#, Java, JavaScript, or Python, or equivalent experience
- Ability to pass the Microsoft Cloud Background Check upon hire or transfer and every two years thereafter
- Master's degree in Computer Science or a related technical field and 8+ years of technical engineering experience, or bachelor's degree and 12+ years of experience, or equivalent experience
- 6+ years of experience working at low levels of the software stack, device driver development, and/or hardware-software integration
- Deep knowledge and hands-on experience with ML compiler, tool, and platform technology
- 10+ years of experience delivering world-class system software
- In-depth experience with operating system development in user mode or kernel mode driver development
- Significant technical leadership experience in research and development of AI platforms or frameworks
- Experience designing and developing ML hardware microarchitecture in real-world products
- Proficient communication and customer-interfacing skills, with the ability to handle ambiguity and prioritize issues
Microsoft Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Microsoft and has not been reviewed or approved by Microsoft.
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Fair & Transparent Compensation — Pay is presented as broadly competitive overall, with clear role/level/location variation and an emphasis on using posted ranges and band information for apples-to-apples comparisons.
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Retirement Support — Retirement benefits are described as a standout, highlighted by a strong 401(k) match structure and immediate vesting, plus additional plan features for tax-advantaged saving.
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Parental & Family Support — Family-oriented benefits are portrayed as a meaningful strength, with substantial paid parental leave and added supports like back-up care and adoption/surrogacy assistance.
Microsoft Insights
What We Do
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