Research Intern - Hardware/Software Codesign at Microsoft
Redmond, Washington, United States -
Full Time


Start Date

Immediate

Expiry Date

18 Feb, 26

Salary

0.0

Posted On

20 Nov, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

GPU Architecture, Memory Hierarchies, Parallel Computing, Algorithm Optimization, GPU Programming, Performance Profiling, Optimization Tools, CUDA, ROCm, Triton, PTX, CUTLASS, C++ Programming

Industry

Software Development

Description
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. Accepted or currently enrolled in a PhD program in Computer Science, Software Engineering, Electrical Engineering, or a related STEM field. 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. Proficient understanding of GPU architecture, memory hierarchies, parallel computing and algorithm optimization Hands-on experience in GPU programming, including performance profiling and optimization tools Proficient knowledge of CUDA, ROCm, Triton, PTX, CUTLASS, or similar GPU programming frameworks Advanced C++ programming skills
Responsibilities
Research Interns collaborate with fellow doctoral candidates and researchers to advance their careers and contribute to research and development. They are expected to present findings and engage with the community during the internship.
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