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# Senior Libraries Engineer - AI and HPC

- **Company:** NVIDIA Ltd.
- **Location:** Santa Clara, CA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $221,250.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computing Platforms, JIRA, C++ (Programming Language), Profiling, Nvidia CUDA, Computer Programming, Continuous Integration, Software Debugging, Integrated Library Systems, Python (Programming Language), Performance Tuning, Software Engineering, Information Technology
- **Published:** August 19, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pd9zpfpgkr

## About the Role

* PhD or MSc's degree in Computational Science, Computer Science, Applied Math, or related science or engineering field of study is preferred (or equivalent experience).
 * 5+ years experience developing, debugging, and optimizing high-performance parallel numerical applications on modern computing platforms, with GPU acceleration using CUDA.
 * C/C++ programming and software development skills.
 * Proven experience in leading and completing software development projects.
 * Strong collaboration, communication, and documentation habits.

Ways To Stand Out From The Crowd

 * Good knowledge of CPU and/or GPU hardware architecture,
 * Experience with software development practices such as CI/CD systems and project management tools such as JIRA,
 * Experience with working in a distributed organization,
 * Debugging, profiling, and testing skills for accuracy and performance,
 * Fluency with Python.

## Description

* Developing scalable library software using modern tools and languages for various numerical method.
 * Performance tuning, optimization, and benchmarking of algorithms on various architectures.
 * Working closely with leadership team and other internal and external partners to understand feature and performance requirements and contribute to the technical roadmaps of libraries.
 * Providing technical leadership and guidance to library engineers working with you.
 * Find opportunities to improve user experience and library performance.


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