Senior Software Engineer - AI Frameworks

Overview

The AI Frameworks team at Microsoft develpos AI Software that enables running AI models everywhere, from world's fastest AI supercomputers, to servers, desktops, mobile phones, IoT devices, and internet browswers.  We collaborate with our hardware teams and hardware partners to build the software stacks for novel AI accelerators.  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 innovations, purpose-built AI hardware, systems, and software.  We are a cross-discipline team of highly capabale and motivated people with a collaborative and inclusive culture.  We collaborate with an contritbute to the open-source community. 

 

As a Senior Software Engineer - AI Frameworks on this team, you will have the opportunity to work on the fundamental abstractions, programming model, runtimes, libraries, and AIPs to enable large scale training and infrerencing of models on novel AI hardware.  This is a technical role: 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. 

 

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

• Apply engineering principles for defining robust and maintainable architectures and designs. 
• Collaborate broadly across multiple disciplines, from hardware designers to ML Developers. 
• Help establish and drive the adoption of good coding standards and patterns. 
• Perform software development in C/C++ and other languages
• Identify requirements, scope solutions, estimate work, schedule deliverables. 

Qualifications

Preferred/Additional Qualifications:

• Technical background and solid foundation in software engineering principles and architecture design
• Experience using or developing hardware simulations
• Curiosity and passion about learning new technologies
• Exposure to Deep Neural Network training and inference and experience in one or more deep learning frameworks (PyTorch, Tensorflow, ONNX, etc.)
• Cross-team collaboration skills and the desire to collaborate in a team of researchers and developers

#AIInfra

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

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

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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.