Senior CUDA Math Libraries Engineer (HPC Platforms) - Equity

NVIDIA; New York (NY); On-site; USD 152,000 - 242,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

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

Ideal candidates have background in scientific computing, GPU kernel development, and parallel programming, with strong C++/Python skills. Equity and benefits are available.

Qualifications

• PhD or MSc in Computational Science and Engineering, Computer Science, Applied Mathematics, or related field (or equivalent experience).
• 5+ years of experience in developing high-performance numerical software.
• Experience with object-oriented programming, large system software architecture, parallel computing, testing, maintenance, and performance optimization of HPC software using C++ and Python.
• Strong understanding of fundamental numerical methods and computations in science, engineering, and/or deep learning.
• Strong communication, collaboration, and documentation habits.
• Experience with CI/CD systems, and project management tools such as JIRA.

Responsibilities

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

Skills

Strong communication

Documentation

Education

PhD or MSc in Computational Science/Engineering/CS/Applied Mathematics

Tools

C++

Python

MPI/OpenMP/OpenACC

CI/CD

JIRA

Job description

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

Ideal candidates have background in scientific computing, GPU kernel development, and parallel programming, with strong C++/Python skills. Equity and benefits are available.