Join the AI Compiler Frontend team at Microsoft, where we pioneer kernel fusion compilation techniques, develop advanced AI graph compilation tools, and design new programming models for Microsoft’s next-generation supercomputers. A key focus is the automatic fusion and tuning of Triton kernels, sourced from both handwritten code and generators like Torch Inductor.
Our interdisciplinary team operates at the crossroads of compiler engineering, programming language design, algorithmic innovation, artificial intelligence, and high-performance computing. We thrive in a collaborative culture, partnering closely with researchers, hardware architects, platform engineers, and software teams across Microsoft. We also actively contribute to the open-source community, building AI software that is accessible and impactful.
We’re looking for talented and team-oriented Software Engineers to help shape the future of AI compilation. This is a rare opportunity to work on cutting-edge technologies that influence every Microsoft business.

REQUIRED QUALIFICATIONS:

• Bachelor’s Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR equivalent experience.
• 2+ years experience with C/C++
• Experience building compilers, using compiler frameworks like LLVM/MLIR, or optimizing AI/numerical workloads
• Experience with graph compilation or kernel fusion

PREFERRED QUALIFICATIONS:

• Master’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 Bachelor’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 equivalent experience.
• Experience using or developing Machine Learning training or inference software
• Experience with cross-team collaboration and communication skills
  Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 $158,400 - $258,000 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
  Microsoft posts positions for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
  Microsoft is an equal opportunity employer. Consistent with applicable law, 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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations

• Design and develop AI software in C/C++, Python, and other languages.
• Designing and building polyhedral analysis and graph compilation tools for large-scale AI model fusion and optimization
• Implementing innovative new graph and fusion compiler features and optimization passes
• Developing code generation techniques for novel hardware platforms
• Designing new programming abstractions for AI
• Collaborating broadly across multiple disciplines from hardware architects to ML developers.
• Identify requirements, scope solutions, estimate work, schedule deliverables.
• Help establish and drive the adoption of outstanding coding standards and patterns and help enhance our inclusive engineering culture.