Principal Software Engineer

The Artificial Intelligence (AI) Frameworks team at Microsoft develops the AI software used to train and deploy the world’s most advanced AI models. We collaborate with our hardware teams and partners to build the software stacks for Microsoft’s next-generation supercomputers and the new Maia-100 AI accelerator.  We work closely with ML researchers and developers to optimize and scale out model training and inference.    

The team operates at the intersection of AI algorithmic innovation, purpose-built AI hardware, systems, and software. We are a cross-disciplined team of highly capable and motivated people with a collaborative and inclusive culture.  We collaborate with hardware design team and build system software stack and developer tools (debugger, profiler, simulator) for the novel AI accelerator.  

As a member of this team, you will have the opportunity to work on the system software, developer tools and experience to enable large scale training and inferencing of models on novel AI hardware.  

It requires hands-on software design and development skills. We’re looking for someone who has a demonstrated history of solving hard technical problems and is motivated to tackle the hardest problems in building a full end-to-end AI stack.  An entrepreneurial approach and ability to take initiative and move fast are essential.

Responsibilities

• Identify requirements, scope solutions, estimate work, schedule deliverables 
• Apply strong engineering principles for defining robust and maintainable architectures and designs 
• Collaborate broadly across multiple disciplines from hardware designers, tool developers, performance analysis and with ML application developers   
• Perform software development in C/C++, C#, Python, and other languages (as per need)  
• Owns the next gen features of Microsoft AI accelerator directly contributing to the business impact.  
  
  

Qualifications

Required Qualifications:  

• B.S. or advanced degree in computer engineering, computer science, or related fields  
• 12+ years of software development and experience of leading at least two commercialized features from requirement to deployment.  
• 5+ years' experience with C/C++   
• Exposure to NVIDIA/AMD development environment comprising CUDA / ROCm  for Deep Neural Network training and inference development  
  
  

Preferred Qualifications:   

• A strong technical background and solid foundation in software engineering principles and architecture design   
• Strong intellectual curiosity and passion about learning new technologies   
• Experience in developing SW/FW for multicore chips  
• Great cross-team collaboration skills and the desire to collaborate in a team of researchers and developers   
• Strong communication skills (both written and oral)  
  
  

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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.