Senior GPU Math Libraries Engineer - Cross-Platform HPC

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

Benefits offered by this job

Equity compensation

Benefits

Job summary

NVIDIA Corporation in Santa Clara, CA seeks a Senior Software Engineer to advance CUDA Math Libraries on new platforms, integrating with core library and devops teams to ensure high-quality support across architectures. This role focuses on platform bring-up, performance readiness, and cross-team collaboration to deliver reliable numerical software for AI workloads.

The ideal candidate has a PhD or MSc in a relevant field, 5+ years of experience in high-performance numerical software, and strong

Qualifications

• PhD or MSc in Computational Science and Engineering, Computer Science, Applied Mathematics, or related field.
• 5+ years of experience in high-performance numerical software.
• Experience with C++ and Python, OO programming, and parallel computing.
• Knowledge of CI/CD practices and Jira usage.

Responsibilities

• Ensure platform readiness across Math Libraries for new and specialized platforms.
• Triage defects and fix bugs to ensure correctness across libraries and platforms.
• Identify performance targets and establish performance testing.
• Collaborate with CI/CD, build, and test infrastructure teams for platform qualification pipelines.

Skills

C++

Python

Parallel computing

OO programming

Performance optimization

Education

PhD/MSc in CS/CE/Math

Job description

NVIDIA Corporation in Santa Clara, CA seeks a Senior Software Engineer to advance CUDA Math Libraries on new platforms, integrating with core library and devops teams to ensure high-quality support across architectures. This role focuses on platform bring-up, performance readiness, and cross-team collaboration to deliver reliable numerical software for AI workloads.

The ideal candidate has a PhD or MSc in a relevant field, 5+ years of experience in high-performance numerical software, and strong