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Sparse Linear Algebra Libraries Intern - Summer 2027

NVIDIA· Intern
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Santa Clara, CA$20/hr - $71/hrinternPosted 1w ago

About the role

Software engineering internship on NVIDIA's Sparse Linear Algebra team developing high-performance libraries (e.g., cuSPARSE) for GPUs, focusing on sparse matrix/vector and matrix/matrix operations, API design, and performance optimization.

Responsibilities

  • Prototype and develop numerical algorithms for high-performance sparse linear algebra libraries for GPUs
  • Analyze the performance of GPU implementations and find opportunities for improvements
  • Collaborate with team members to understand software use cases and requirements

Qualifications

  • Pursuing MS or PhD in Computational Science, Computer Science, Applied Mathematics, or equivalent program area
  • Strong C++ programming, debugging, performance analysis, and test design skills
  • Experience implementing sparse linear algebra algorithms
  • Parallel programming experience using CUDA and/or OpenMP
  • Experience with domain-specific language design, code/kernel generation, and compiler optimizations

Skills

Required:C++CUDASparse linear algebra
Nice to have:OpenMPDomain-specific language design / code generation / compiler optimizationPython

Benefits

  • Intern benefits (eligible)
Last updated Oct 16, 2026. Interested? Apply on the company site.

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