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The Direct Machine Learing (ML) Platform Team in the Core OS 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 various hardware architectures at the scale of the Windows ecosystem. Our platform, built on the DirectML core operating system stack, helps power countless machine learning workloads from computer visions, audio and video to the latest generative AI models such as the many generative art and large language models. Our mission is to realize the AI PC vision for Windows and make Windows an AI-first computing platform for developers by delivering breakthrough technology that helps 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 platforms that leverage cutting-edge hardware capabilities ranging from optimized GPU compute kernels to dedicated AI processor architectures on the Neural Processing Unit (NPU.) We are looking for a Senior Software Development Engineer with a desire to learn and be immersed in this fundamental platform shift that AI brings to the world by helping the team to build highly efficient execution engines and tools in a fast-moving but highly collaborative environment. This important role offers a significant potential to positively impact Microsoft’s future and 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 cost of goods sold 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
• Work and collaborate with engineers from the GPU and NPU hardware vendors to build and maintain the future and existing features of the DirectML platform stack on various compute devices.
• Develop and maintain highly reliable and scalable performance benchmark systems that run across diverse compute devices.
• Maintain and extend the hardware conformance suite to ensure that the DirectML platform and related technologies continue to reliably produce accurate and consistent result across diverse supported compute devices.
• Monitor daily builds of the platform and keep the automated monitoring system in reliable state.
• Work with open-source engineers to help facilitate related work such as tools and frameworks in the open-source community.
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.
• 4+ years of experience delivering commercial-quality software products for consumers or enterprises.
• 4+ years of C/C++ coding and low-level debugging experience.
Other Requirements
• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
• 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
• Hands-on experience in developing machine learning compilers or kernels is highly preferred.
• Hands-on experience in training or fine-tuning language models is a big plus.
• Up-to-date knowledge of GPU compute architecture and experience writing high-performance compute shaders for machine learning operations in any language is a plus.
• The ideal candidate has good communication and customer interfacing skills, ability to deal with ambiguity, and ability to prioritize software development tasks and a proven record of customer successes.
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 September 23, 2024.
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.
