During your internship, you will work with senior software engineers on the libraries team who will provide mentorship and guide you in developing highly optimized algorithms. Projects will involve implementing new numerical algorithms, defining APIs, analyzing performance, finding appropriate solutions for difficult numerical corner cases, and other general software engineering work.
What you'll be doing
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
Exposure to numerical methods, floating-point arithmetic and numerical error analysis
Knowledge of GPU/CPU and network hardware architecture
A scripting language, preferably Python
Understanding of composability and fusions, compilers, and implementation of programming languages
Familiarity with recent CUDA developments like cuTILE and Tile++ and eExperience with sparse compilers (MLIR or TACO)
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The expected hourly rate for this position is 20 USD – 94 USD.
You will also be eligible for Intern benefits.
Applications for this job will be accepted at least until November 3, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
