About the role#
NVIDIA is looking for software engineering interns to join the Sparse Linear Algebra team. This team develops libraries such as cuSPARSE, which serve as core components of deep learning and high-performance computing stacks. You will work alongside senior software engineers to build optimized computing primitives for operations like sparse matrix-vector and sparse matrix-matrix products.
What you'll do#
- Prototype and develop numerical algorithms for high-performance sparse linear algebra libraries on GPUs.
- Analyze the performance of GPU implementations to identify opportunities for improvement.
- Collaborate with team members to define APIs and understand specific software use cases.
- Implement new numerical algorithms and find solutions for complex numerical corner cases.
What you'll need#
- Currently pursuing an MS or PhD in Computer Science, Computational Science, Applied Mathematics, or a related field.
- Strong skills in C++ programming, debugging, performance analysis, and test design.
- Experience implementing sparse linear algebra algorithms.
- Parallel programming experience using OpenMP or CUDA.
- Experience with compiler optimizations, code or kernel generation, and domain-specific language design.
- Knowledge of numerical methods, floating-point arithmetic, and numerical error analysis is a plus.
- Familiarity with GPU, CPU, and network hardware architecture.
- Proficiency in a scripting language, preferably Python.
- Understanding of compilers, composability, fusions, and programming language implementation.
- Familiarity with sparse compilers like MLIR or TACO and CUDA developments such as cuTILE and Tile++.
Location & details#
- Location: Santa Clara, California.
- Term: Summer 2027.
- Modality: On-site.
- This is a full-time, paid internship.
About NVIDIA
NVIDIA operates as a computer hardware manufacturer based in Santa Clara, California. Founded in 1993, the company focuses on accelerated computing and graphics technology. It produces hardware for markets including artificial intelligence, gaming, and data centers. The organization employs over 50,000 people and maintains a global presence.
How to get in at NVIDIA
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