# Software Engineering Intern - Math Libraries

**Company**: NVIDIA
**Location**: Santa Clara, CA
**Job type**: full-time
**Salary**: $20 - $94 per hour
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Math-Libraries-Intern--cuEST---Summer-2027_JR2028449?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_2fd1559e-6d5

## Description

NVIDIA is seeking software engineering interns to join the math libraries team building cuEST, a CUDA-X math library that accelerates quantum chemistry on NVIDIA GPUs.

During your internship, you will work with senior engineers on the cuEST team who will mentor you and guide you in developing highly optimized algorithms and numerical methods for quantum chemistry.

**Responsibilities:**

- Prototype and develop GPU-accelerated algorithms for Gaussian-basis quantum chemistry primitives in cuEST.

- Analyze the performance of CUDA implementations, identify opportunities for improvement, and implement them.

- Contribute across the engineering lifecycle, from design and testing to code that ships in the library.

- Collaborate with team members and other stakeholders to understand how quantum chemistry applications use cuEST and what they need from it.

**Requirements:**

- Pursuing a BS, MS, or PhD degree in Computational Chemistry, Computational Physics, Computer Science, Applied Math, or an equivalent program area.

- Excellent C/C++ or Python programming, debugging, performance analysis, and test design skills.

- Strong algorithms and numerical methods fundamentals.

- Ability to work independently and lead your own development effort.

- Good teamwork, communication, and documentation habits.

**Nice to Have:**

- GPU programming experience (CUDA or OpenCL).

- Coursework or research experience in quantum chemistry or electronic structure theory.

- Knowledge of floating-point arithmetic and numerical error analysis.

- Knowledge of CPU or GPU hardware architecture.

- Experience using agentic AI tools to improve the speed and quality of software development.

The expected hourly rate for this position is $20 - $94 USD.

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## Skills

### Required
- C/C++
- Python
- algorithms
- numerical methods
- quantum chemistry

### Nice to have
- GPU programming
- CUDA
- OpenCL
- floating-point arithmetic
- numerical error analysis
- CPU or GPU hardware architecture
- agentic AI tools

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Math-Libraries-Intern--cuEST---Summer-2027_JR2028449?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)