Microsoft
Senior Software Engineer, DirectML Platform
Microsoft, Redmond, Washington, United States, 98052
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 vision, 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 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.
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.
QualificationsRequired 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 Requirements:
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.
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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.
QualificationsRequired 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 Requirements:
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.
#J-18808-Ljbffr