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Performance Software Intern, Deep Learning Libraries - 2027

NVIDIA· Intern
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Shanghai, BeijingInternPosted 4w ago

About the role

Performance software internship focusing on developing optimized kernels for deep learning operations on NVIDIA GPUs, targeting deep learning libraries and low-level software stack optimization.

Responsibilities

  • Writing highly tuned compute kernels to perform core deep learning operations (e.g. matrix multiplies, MoE, Attention)
  • Following general software engineering best practices including support for regression testing and CI/CD flows
  • Collaborating with teams across NVIDIA: Compiler team on generating optimal assembly code; Deep learning training and inference performance teams on which layers require optimization; Hardware and architecture teams on the programming model for new deep learning hardware features

Qualifications

  • Pursuing Masters or PhD degree in Computer Science, Computer Engineering, Applied Math, or related field
  • Demonstrated strong programming and software design skills, including debugging, performance analysis, and test design
  • Experience with performance-oriented parallel programming, even if it’s not on GPUs (e.g. with OpenMP or pthreads)
  • Solid understanding of computer architecture and some experience with assembly programming
  • Identify bottlenecks, optimize resource utilization, and improve throughput.

Skills

Required:Programming and software designPerformance-oriented parallel programmingComputer architecture
Nice to have:Kernel optimization / CUDA GPU programming
Last updated Sep 25, 2026. Interested? Apply on the company site.

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