Software Engineering II - AI Compiler Engineer

Microsoft • ,

2d • $102,100 - $219,200

About The Position

The AI Frameworks team at Microsoft develops AI software for training and deploying advanced AI models, including software for Microsoft’s next-generation supercomputers and Maia-200 AI accelerator. The interdisciplinary team works across AI, compiler engineering, systems software, and high-performance computing, collaborating with hardware architects, platform engineers, researchers, and ML developers, and participating in the open-source community.

The Software Engineer II - AI Compiler Engineer will join the Maia Code-gen team and work on mechanisms for building and deploying application code to Microsoft AI accelerator devices. The role includes analyzing and modifying code through the LLVM IR API, implementing dynamic code-generation and JIT-compilation features, and developing system and runtime components for dynamic-code deployment. This is a hands-on technical position focused on solving complex engineering problems and contributing to an end-to-end AI software stack.

Requirements

• Bachelor's degree in Computer Science or a related technical field and 2+ years of technical engineering experience coding in languages including, but not limited to, C, C++, C#, or Python, or equivalent experience.
• Ability to meet Microsoft, customer, and/or government security screening requirements, including passing the Microsoft Cloud Background Check upon hire or transfer and every two years thereafter.

Nice To Haves

• Bachelor's degree in computer engineering, computer science, or a related technical field, or equivalent experience.
• 2+ years of software development experience.
• 1+ years of experience with C/C++.
• 1+ years of experience developing software for GNU/Linux or another Unix-like platform.
• 1+ years of experience with optimized systems-level programming.
• Experience building compilers or other tooling using compiler frameworks like LLVM.

Responsibilities

• Design and implement robust, maintainable software architectures and components for dynamic code generation and deployment.
• Analyze and transform code using LLVM IR and develop advanced JIT-compilation features.
• Build system and runtime components that support deploying application code to AI accelerator devices.
• Develop software in C/C++, Python, and other languages as appropriate.
• Collaborate across disciplines, from hardware architects to ML developers.
• Identify requirements, scope solutions, estimate work, and plan deliverables.
• Contribute to sound engineering practices and an inclusive, collaborative team culture.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level