Microsoft Principal Software Engineer - AI Compilers 

United States, Washington 

749147742

The AIused to trainand deployand design newprogramming abstractionsAI hardwareat the intersection ofprogramming languagealgorithmic innovation,nd high-performance computing.Our culture is highlypartner withplatform engineers,software groupsalso enthusiasticallyto build AIthat everyone can

PrincipalAI Compiler effort.miss thisworking onthat has

Required Qualifications:

• Bachelor’s degree in computer science, or related technical discipline 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.
• 6+ years’ experience with C++.
• 5+ years’ experience building compilers, using compiler frameworks like LLVM/MLIR, or optimizing AI/numerical workloads.

Other Requirements:

• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: 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 Qualifications:

• 10+ years’ experience with C++.

• 6+ years’ experience with Python.

• M.S. or Ph.D. in computer engineering or related fields, or equivalent industry experience.
• Experience using or developing Machine Learning training or inference software.
• A deep curiosity and interest about exploring new technologies.
• Effective cross-team collaboration skills and communication skills.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

• Leading design and development of AI software in C/C++, Python, and other languages.
• Leading teams to implement innovative new compiler features and optimization passes.
• Developing code generation techniques for novel hardware platforms.
• Optimizing AI workloads.
• 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.

Other:

• Embody our and