Description
NVIDIA is seeking software engineering interns for its Sparse Linear Algebra team, which develops libraries like cuSPARSE for high-performance computing and deep learning software stacks.
The intern will work on optimizing algorithms for sparse matrix operations, including sparse matrix-vector and sparse matrix-matrix products, for current and future GPUs.
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
Requirements:
- 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
Benefits:
- Competitive hourly rate ($20-$71 USD)
- Intern benefits package
NVIDIA is an equal opportunity employer and values diversity in its employees.
This listing is enriched and indexed by YubHub. To apply, use the employer's original posting:
https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Sparse-Linear-Algebra-Libraries-Intern---Summer-2027_JR2027429