Senior Software Engineer

The Artificial Intelligence (AI) Frameworks team at Microsoft develops cutting-edge AI software that powers AI models across a vast range of platforms—from the world’s fastest AI supercomputers to servers, desktops, mobile phones, Internet of Things (IoT) devices, and web browsers. We work closely with hardware teams and partners to build the software stacks for advanced AI accelerators like the Maia 100. Additionally, we collaborate with Machine Learning (ML) researchers and developers to optimize and scale model training and inference. We are seeking a Senior Software Engineer to join our dynamic team!

Our team operates at the crossroads of AI algorithmic innovation, specialized AI hardware, systems, and software. We are a multidisciplinary group of highly skilled and motivated individuals who value collaboration and inclusivity. We also engage with and contribute to the open-source community.

As a Senior Software Engineer on our team, you will have the opportunity to develop high-performance kernel libraries and the backend for popular deep learning frameworks tailored to the Maia 100 accelerator. You will explore enabling the latest OpenAI models on this innovative AI hardware.

This is a highly technical role, requiring hands-on software design and development expertise. We are looking for a Senior Software Engineer with a proven track record of solving complex technical challenges and a drive to tackle the toughest problems in building a comprehensive AI stack. An entrepreneurial mindset, along with the ability to take initiative and move quickly, is 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.

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#, Python
  • OR equivalent experience.
• 4+ years experience designing and developing production software.
• 3+ years programming experience in C++ and Python.

Preferred Qualifications:

• Experience in large scale distributed computation, system programming, information retrieval, or machine learning.
• Experience with architecting, designing, coding, debugging, problem analysis and problem solving. 
• Ability to drive cross-team collaboration and ship production features in a fast-paced startup environment.
• Demonstrated technical leadership skills.
• Humility and openness to feedback.

Software Engineering IC4 - The typical base pay range for this role across Canada is CAD $108,100 - CAD $199,700 per year.   Find additional pay information here:  https://careers.microsoft.com/v2/global/en/canada-pay-information.html  

Microsoft will accept applications and processes offers for these roles on an ongoing basis.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work

• Design, implement, and test a function or component for our AI/DNN (Deep Neural Network) frameworks and tools
• Speeding up/reducing complexity of key components/pipelines to improve performance and/or efficiency of our systems
• Interacting and collaborating with our partners both internal and external
• Interacting with and providing tech support for our customers/users
• Other: Embody our Culture and Values