Senior Software Engineer - ML Focused

In the Core Operating Systems organization, we design best innovations in machine learning and Artificial Intelligence field that reaches to millions of Windows developers worldwide. Industries driven by Graphics Processing Units (GPU) like gaming, machine learning, and technical computing are growing rapidly due to rising GPU performance. As performance increases, so does code complexity, making GPU programming languages ever more critical to these industries. The ML Team here is responsible for driving platform innovations for machine learning layer to Real Time ML Intelligence with IHV partners on various hardware architectures starting with Graphics Processing Unit (GPU) & other IPs at the scale for the ecosystem around. ML team is responsible to design, innovate, implement and build techniques using advanced ML algorithms and optimizations by utilizing latest Hardware features and capabilities. The Team works with hardware partner teams to develop new ML optimizations, and with game/app developer teams to make sure those features meet their needs. We are seeking an experienced Software Engineer to help us define and build the future of advanced ML techniques and algorithms for real time AI workloads.

We are looking for a strong senior engineer with industry experience in machine learning technologies including models, compilers, algorithms, Kernel optimizations and tools with emphasis on the hardware compute stack with a growth mindset and the desire to learn it all to help build a highly efficient ML intelligence. This important role offers a significant potential to positively impact Microsoft and the future of the industry.

In Core OS, we are responsible for the Operating Systems that power Azure, Microsoft's Linux OS, the platforms for Windows Client and Xbox, and our Windows Server ecosystem – through all of these, we support every one of our cloud businesses and billions of customers around the world. In this era of ubiquitous computing, systems software excellence has never been more important for Microsoft. High quality, high-efficiency operating systems and platform components underpin everything we do as a company, from making our systems more reliable for our customers, to increasing our competitiveness by reducing COGS, to delivering new features and capabilities to delight customers – that’s all us!

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.

• 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, C++, C#, or Python
  • OR equivalent experience.
• 1+ years of ML compiler or advanced ML techniques experience and optimizations.

• Experience in building ML compilers and/or improving performance for AI/ML workloads and operators
• Knowledge and understanding of modern rendering techniques and/or gaming applications.
• A good understanding of how GPU hardware works, and the APIs used.

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $117,200 - $229,200 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 $153,600 - $250,200 per year.

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

Microsoft will accept applications for the role until January 9, 2025.

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As a Senior Software Engineer - ML Focused, you will be responsible for the following:

• Design, implement and execute advanced ML algorithms and techniques for compilers.
• Work with industry partners, customers and internal partners to help define future of 3D advance AI/ML workloads & Gaming.
• Work with our industry partners to ensure our ML intelligence can deliver best in class content and performance.