Senior GPU-Accelerated Libraries Engineer

NVIDIA Corporation; United States; Remote; USD 140,000 - 210,000; Full time

Job summary

NVIDIA Corporation is seeking a senior software engineer to design, develop, and optimize scalable numerical libraries for GPU-accelerated computing. The role focuses on high-performance parallel applications, CUDA-based acceleration, and strong collaboration with leadership and external partners.

The ideal candidate will have 5+ years of experience in HPC software development, proven project leadership, and proficiency in C/C++.

Qualifications

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

Responsibilities

• Develop scalable library software using modern tools and languages for various numerical methods.
• Performance tuning, optimization, and benchmarking of algorithms on various architectures.
• Collaborate with leadership and internal/external partners to understand feature and performance requirements and contribute to the technical roadmaps of libraries.
• Provide technical leadership and guidance to library engineers working with you.
• Find opportunities to improve user experience and library performance.

Skills

CUDA parallel computing

C/C++ programming

software development leadership

communication & collaboration

Education

PhD or MSc in Computational Science/CS/Applied Math or related

Tools

JIRA

CI/CD systems

Python

Job description

NVIDIA Corporation is seeking a senior software engineer to design, develop, and optimize scalable numerical libraries for GPU-accelerated computing. The role focuses on high-performance parallel applications, CUDA-based acceleration, and strong collaboration with leadership and external partners.

The ideal candidate will have 5+ years of experience in HPC software development, proven project leadership, and proficiency in C/C++.