About the role#
NVIDIA is looking for a software engineering intern to join the Sparse Linear Algebra team. This team develops libraries like cuSPARSE, which are essential for high-performance computing and deep learning. You will work with senior engineers to prototype and optimize numerical algorithms that support operations like sparse matrix-vector and matrix-matrix products. These tools are used across gaming, machine learning, autonomous driving, and chip modeling.
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 understand software requirements and use cases.
- Implement new numerical algorithms and define APIs.
- Address difficult numerical corner cases.
- Perform general software engineering tasks.
What you'll need#
- Currently pursuing an MS or PhD in Computational Science, Computer 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 CUDA or OpenMP.
- Experience with domain-specific language design, code or kernel generation, and compiler optimizations.
- Exposure to numerical methods, floating-point arithmetic, and numerical error analysis.
- Knowledge of GPU, CPU, and network hardware architecture.
- Proficiency in a scripting language, preferably Python.
- Understanding of composability, fusions, compilers, and programming language implementation.
- Familiarity with CUDA developments such as cuTILE and Tile++.
- Experience with sparse compilers like MLIR or TACO.
Location & details#
- Location: Santa Clara, California.
- Term: Summer 2027.
- Modality: On-site.
- Employment: Full-time.
- Compensation: 20 USD to 94 USD per hour.
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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