Senior Software Engineer

The Direct Machine Learning (ML) 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 GPU, CPU, and 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 processor architectures on the NPU and SIMD instructions on the CPU.

We are looking for a Senior Software Engineer with a desire to learn and be immersed in this fundamental platform shift that AI brings by helping the team to build highly efficient execution engines and tools in a fast-moving but highly collaborative environment. This role offers a significant potential to positively impact Microsoft and the future of the tech 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.

Required Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with debugging and coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python

  • OR equivalent experience.

• 4+ years of experience delivering world class systems software.
• 3+ years experience working at the low levels of the software stack and/or integration of hardware and software.

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, NPU, or CPU compute architecture and experience writing high-performance compute kernels for machine learning operations in any language is a plus.
• Demonstrated communication/customer interfacing skills, ability to deal with ambiguity, and ability to prioritize software development tasks and a proven record of customer successes.
• Demonstrated 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 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 for the role until September 30, 2024

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.

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• Drive co-engineering efforts across teams and with industry partners to deliver scalable and high-performance machine learning features on GPU, NPU, and CPU.
• 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