Senior HPC Library Engineer - GPU-Accelerated Imaging

NVIDIA Corporation; United States; Remote; USD 180,000 - 260,000; Full time

Job summary

NVIDIA Corporation seeks a senior HPC/library engineer to design, implement, and optimize CUDA-accelerated software libraries. You will work on scalable, cross-functional projects influencing image, video, and scientific computing workloads across platforms.

The ideal candidate holds a PhD or MSc in a relevant field, 12+ years of experience, and strong C/C++/CUDA skills, with proven leadership in complex software efforts and excellent collaboration and documentation habits.

Qualifications

• PhD or MSc in Computational Science, CS, Applied Math or related field preferred.
• 12+ years of experience in developing high-performance parallel numerical apps on modern GPUs.
• Expertise in CUDA and C/C++ programming and software design.
• Proven track record leading and completing software projects.

Responsibilities

• Develop scalable library software for CUDA-accelerated workloads.
• Collaborate with product management and partners to define features and performance goals.
• Provide technical leadership and guidance to library engineers.
• Identify opportunities to optimize performance and enable architectural refactors.

Skills

CUDA

C/C++

Parallel computing

Python

Education

PhD or MSc in Computational Science/CS/Applied Math

Tools

CI/CD tools

JIRA

Job description

NVIDIA Corporation seeks a senior HPC/library engineer to design, implement, and optimize CUDA-accelerated software libraries. You will work on scalable, cross-functional projects influencing image, video, and scientific computing workloads across platforms.

The ideal candidate holds a PhD or MSc in a relevant field, 12+ years of experience, and strong C/C++/CUDA skills, with proven leadership in complex software efforts and excellent collaboration and documentation habits.