Senior Engineer, Math Libraries - Consumer and Embedded Platforms

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

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation is seeking a Senior Software Engineer to enable CUDA Math Libraries on new platforms, collaborating with core library and DevOps teams to ensure robust support across platforms. The role focuses on high-performance numerical software, platform bring-up, and performance readiness for diverse architectures.

The ideal candidate has strong background in HPC, CUDA, parallel programming, and cross-functional teamwork, with opportunities for equity and comprehensive benefits as part

Qualifications

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

Responsibilities

• Ensure platform readiness across NVIDIA Math Libraries for new platforms.
• Perform defect triage and isolation of platform-specific vs library-specific problems.
• Identify performance targets and establish performance testing; fix regressions.
• Collaborate with CI/CD, build, and test infra teams to qualify and validate platforms.

Skills

High-performance software

Parallel computing

HPC optimization

Communication

Collaboration

Education

PhD or MSc in Computational Science/CS/Applied Math

Tools

C++

Python

CI/CD

JIRA

Job description

We are looking for a Senior Software Engineer to join our team enabling CUDA Math Libraries on new and specialized platforms. Around the world, leading commercial and academic organizations are revolutionizing AI, data analytics, and scientific and engineering simulations using data centers powered by GPUs. NVIDIA’s math libraries are core to global AI infrastructure and must deliver functionality and performance on every target. In this role, you will enable NVIDIA’s CUDA Math Libraries on a wide variety of emerging platforms, including integration, functional qualification, compliance, and performance readiness, working closely with the core library and devops engineering teams to ensure consistent, high-quality support on every expanding platform. Ideal candidates will have experience in scientific and numerical computing libraries, GPU kernel development, and parallel programming. This is your opportunity to join an organization that is on the forefront of unlocking application performance in the AI era! We would love for you to bring your talent to the team.

What You’ll Be Doing:

• 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.

What We Need to See:

• 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.

Ways to Stand Out from the Crowd:

• Experience with CUDA, GPU-accelerated computing, and parallel programming (e.g. MPI, OpenMP, OpenACC, pthreads).
• Familiarity with math libraries (BLAS, LAPACK, FFT, sparse solvers).
• Proven track record using Agentic AI to boost your efficiency and code quality.
• Experience with cross-platform software development and platform bring-up across multiple architectures.
• Background with delivering software for safety-critical or embedded environments (e.g., DriveOS, ISO 26262).

The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 9, 2026.

NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.