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 engineers 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 production-quality systems software, AI/ML platforms, or related technologies
OR equivalent experience
Preferred Qualifications
Demonstrated experience designing and delivering production-quality systems software, AI/ML platforms or related technologies.
Committed hands-on experience with ML compilers, runtimes, frameworks, tools and platform technologies.
In-depth operating system development experience, including user-mode and/or kernel-mode driver development.
Experience designing ML accelerator or hardware microarchitecture for real-world products, and connecting that hardware with compilers, runtimes, drivers and frameworks.
Knowledge of computer architecture, heterogeneous computing, memory systems, parallel processing and hardware/software co-design.
Proven experience optimizing ML workloads across the full software and hardware stack, including GPU optimization.
A track record of technical leadership: defining architecture and driving complex AI/ML research and development across hardware and software teams. This includes taking AI platforms or accelerators from early design and prototypes through to production.
#W+DJOBS
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.
