Senior Software Engineer, DirectML Platform

The DirectML Platform Team in the Core Operating Systems organization places Microsoft's best innovations in machine learning and AI in the hands of millions of Windows developers worldwide. The DirectML Team is responsible for driving platform innovations for machine learning across the graphics processing unit (GPU) and the neural processing unit (NPU) on various hardware architectures at the scale of the Windows ecosystem. Our platform, built on the DirectML core operating system stack is at the heart of the Windows Copilot Runtime. It helps power countless machine learning workloads from computer visions, audio and video to the latest generative AI models. Our mission is to realize the Windows Copilot PC vision and make Windows an AI-first PC for developers by delivering breakthrough technology that will help drive Microsoft's leadership in AI for years to come. We are a learn-it-all team with passion and specialty in designing high-performance systems and tools that leverage cutting-edge hardware capabilities from optimized GPU compute kernels to dedicated AI accelerator architectures on the NPU. We are looking for a strong senior engineer with industry experience in machine learning compiler technology, the NPU, and/or hardware compute stack with a growth mindset and desire to learn it all to build a highly efficient execution engines in the DirectML runtime. 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. Responsibilities Drive co-engineering efforts across teams and with industry partners to deliver scalable and high-performance machine learning features on GPU and/or NPU. Work effectively across teams to address problems and collaboratively arrive at effective solutions. Bring clarity to ambiguous situations. Model a great example of engineering excellence and product quality in all aspects of software development and partner collaboration. Collaborate with engineers from the hardware vendor, customer, and partner teams to maintain and evolve the DirectML platform and relevant tools on various frameworks and silicon. Develop and maintain highly reliable and scalable performance benchmark systems that run across frameworks and diverse hardware. Maintain and extend the system compatibility test suite to ensure that the DirectML platform and related technologies continue to reliably produce accurate and consistent results across diverse supported frameworks and hardware. Monitor daily builds of the platform components and keep the automated monitoring system in a reliable state. Work with open-source engineers to help further our platform missions and facilitate related work with the open-source community. Other Embody our culture and values Qualifications Required Qualifications: Bachelor's Degree in Computer Science, or related technical discipline AND 4 years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Other Requirments: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter. Preferred Qualifications: Bachelor's Degree in Computer Science or related technical field AND 8 years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Master's Degree in Computer Science or related technical field AND 6 years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Hands-on experience in developing machine learning compilers or kernels. Hands-on experience in training or fine-tuning language models. Up-to-date knowledge of GPU and NPU compute architecture and experience writing high-performance compute kernels for machine learning operations in any language. Ability to deal with ambiguity, and to prioritize software development tasks and a proven record of customer successes. Communications/customer interfacing skill and the ability to deal with ambiguity and priority 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: https://careers.microsoft.com/us/en/us-corporate-pay Microsoft will accept applications for the role until November 24, 2024. CoreOSJobs AEPJobs 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 (https://careers.microsoft.com/v2/global/en/accessibility.html) .