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Sparse Linear Algebra Libraries Intern - Summer 2027
NVIDIA
US, CA, Santa Clara · On-site · relocationSalary not disclosedfull-timeNVIDIA Careers (offices abroad)
Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world.
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
- What we need to see
- 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
- Ways to stand out from the crowd
Languages
- Work format
- On-site
- Seniority
- Intern
- Posted
- 13 Oct 2026
- Last verified
- In the last 5 days
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