Senior CUDA Math Libraries Platform Engineer

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

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a Senior Software Engineer to advance CUDA Math Libraries on new platforms, enabling high-performance numerical computing for AI and scientific workloads.

You will work on cuBLAS, cuSPARSE, cuSOLVER, cuFFT and others, ensuring platform readiness, defect triage, and performance improvements across collaborations with platform, CI/CD, and devops teams. A PhD/ MSc and 5+ years in HPC with C++ and Python are required.

Qualifications

• PhD or MSc degree in Computational Science and Engineering, Computer Science, Applied Mathematics, or related science or engineering field (or equivalent experience).
• 5+ years of overall experience in developing high-performance numerical software.
• Experience with object-oriented programming, large system software architecture development, 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 software development practices, such as CI/CD systems, and project management tools such as JIRA.

Responsibilities

• Ensure platform readiness across Math Libraries (including cuBLAS, cuSPARSE, cuSOLVER, cuFFT, and others) for new and specialized platforms.
• Perform defect triage and isolation of platform-specific versus library-specific problems, fixing bugs to ensure functional correctness and referring to a library specialist as needed.
• Identify performance targets for new platforms, establish performance testing and fix performance regressions.
• Collaborate with CI/CD, build, and test infrastructure teams to establish platform-specific qualification and validation pipelines.

Skills

C++

Python

Parallel computing

HPC software

CI/CD

Communication

Education

PhD or MSc in Computational Science/Engineering

Tools

MPI

OpenMP

OpenACC

JIRA

Job description

NVIDIA is seeking a Senior Software Engineer to advance CUDA Math Libraries on new platforms, enabling high-performance numerical computing for AI and scientific workloads.

You will work on cuBLAS, cuSPARSE, cuSOLVER, cuFFT and others, ensuring platform readiness, defect triage, and performance improvements across collaborations with platform, CI/CD, and devops teams. A PhD/ MSc and 5+ years in HPC with C++ and Python are required.