Senior GPU Math Libraries Engineer

NVIDIA; Santa Clara (CA); On-site; USD 152,000 - 288,000; Full time

Job summary

NVIDIA in Santa Clara, CA, seeks a Senior Software Engineer to enable CUDA Math Libraries on new platforms, focusing on integration, qualification, compliance, and performance readiness. You will work with core library and devops teams to ensure high-quality support across platforms.

Ideal candidates have 5+ years in high-performance numerical software, strong C++/Python skills, and a PhD/MSc in related fields. This role offers equity and benefits; applications are open until October 9, 2026.

Qualifications

• PhD or MSc in Computational Science and Engineering, Computer Science, or related field
• 5+ years of experience in developing high-performance numerical software
• Proficient in C++ and Python for HPC
• Experience with CI/CD systems and JIRA

Responsibilities

• Ensure platform readiness across Math Libraries for new and specialized platforms
• Perform defect triage and isolation of platform-specific vs library-specific problems and fix bugs
• Identify performance targets for new platforms and establish performance testing
• Collaborate with CI/CD, build, and test infrastructure teams to establish qualification pipelines

Skills

C++

Python

Parallel computing

Numerical software

CI/CD experience

Communication

Team collaboration

Education

PhD or MSc

Tools

CUDA

OpenMP

MPI

Git

Job description

NVIDIA in Santa Clara, CA, seeks a Senior Software Engineer to enable CUDA Math Libraries on new platforms, focusing on integration, qualification, compliance, and performance readiness. You will work with core library and devops teams to ensure high-quality support across platforms.

Ideal candidates have 5+ years in high-performance numerical software, strong C++/Python skills, and a PhD/MSc in related fields. This role offers equity and benefits; applications are open until October 9, 2026.