Research Intern - AI Systems and Tools

Microsoft•Redmond, WA

8d•Onsite

About The Position

Research Internships at Microsoft provide a dynamic environment for research careers with a network of world-class research labs led by globally-recognized scientists and engineers, who pursue innovation in a range of scientific and technical disciplines to help solve complex challenges in diverse fields, including computing, healthcare, economics, and the environment. The AI Frameworks team at Microsoft develops Artificial Intelligence (AI) software that enables running AI models everywhere, from world's fastest AI supercomputers, to servers, desktops, mobile phones, Internet of Things (IoT) devices, and internet browsers. We collaborate with our hardware teams and partners to build the software stacks for ovel AI accelerators. We work closely with Machine Learning (ML) researchers and developers to optimize and scale out model training and inference. The team operates at the intersection of AI algorithmic innovation, purpose-build AI hardware, systems, and software. We are a cross-discipline team of highly capable and motivated people with a collaborative and inclusive culture. As a Research Intern on this team, you will have the opportunity to work on multiple levels of the AI system and infrastructure stack, with an emphasis on developer tools for Microsoft's custom Maia AI hardware. Developer tools for Maia hardware include profiler, debugger, performance analysis tools, as well as a fully functional software-only simulator that is capable of running entire AI models on simulated upcoming generations of the hardware. The team also works closely with the AI Compilers team, that builds state-of-the art compiler for AI hardware including Maia. As a part of the developer tools team, you get a chance to work on device firmware, software running on the host, as well as higher level analysis and integration with AI/ML frameworks such as PyTorch. During the Research Internship, you will work with partner teams to build new tools that help developers author highly efficient kernels for state-of-the-art models to execute on AI accelerators.

Requirements

Currently enrolled in PhD program in Computer Science, Computer Engineering, Electrical Engineering or related STEM field.
At least 1 year of experience in conducting research, writing peer-reviewed publications and software development.
At least 1 year of experience with software development in C++.
Research Interns are expected to be physically located in their manager’s Microsoft worksite location for the duration of their internship.
In addition to the qualifications below, you’ll need to submit a minimum of two reference letters for this position as well as a cover letter and any relevant work or research samples. After you submit your application, a request for letters may be sent to your list of references on your behalf. Note that reference letters cannot be requested until after you have submitted your application, and furthermore, that they might not be automatically requested for all candidates. You may wish to alert your letter writers in advance, so they will be ready to submit your letter.

Nice To Haves

Knowledge and experience about developer tools for accelerators (profilers, debuggers, etc.).
Knowledge about AI Compilers.
Knowledge in systems and parallel programming.
Ability to handle complex problems related to software development.
Able to effectively collaborate with your mentor and team members and partners.

Responsibilities

Research Interns put inquiry and theory into practice.
Alongside fellow doctoral candidates and some of the world’s best researchers, Research Interns learn, collaborate, and network for life.
Research Interns not only advance their own careers, but they also contribute to exciting research and development strides.
During the 12-week internship, Research Interns are paired with mentors and expected to collaborate with other Research Interns and researchers, present findings, and contribute to the vibrant life of the community.
Research internships are available in all areas of research, and are offered year-round, though they typically begin in the summer.

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