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About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
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JOB TITLE: Math Libraries Intern, cuEST - Summer 2027
The Math Libraries Intern, cuEST - Summer 2027 joins the team building cuEST, a CUDA-X math library designed to accelerate quantum chemistry on NVIDIA GPUs. This role involves developing highly optimized algorithms and numerical methods for electronic structure computations, specifically focusing on Gaussian-basis quantum chemistry primitives. Interns will prototype GPU-accelerated algorithms, analyze CUDA performance, define APIs, and handle numerical corner cases to ship production-ready software. The work supports applications like drug discovery and semiconductor process development. Candidates should possess skills in C/C++ or Python, debugging, performance analysis, and test design. The role requires strong fundamentals in algorithms and numerical methods. Desired experience includes GPU programming with CUDA or OpenCL, research in quantum chemistry, knowledge of floating-point arithmetic, and hardware architecture.
Python
C
C++
AI
Machine Learning
Compilers
LLM
CUDA
GPU Programming
LLVM
MLIR
Performance Engineering
Optimization
Data Structures
Algorithms
Reinforcement Learning
Predictive Modeling
Domain-Specific Languages
CUDA
C++
GPU Software Development
Quantum Chemistry
Tensor Cores
Mixed Precision Algorithms
Numerical Methods
Scientific Computing
Agentic AI
CUDA-X
Gaussian-basis
Floating Point Emulation