# Senior Software Engineer

**Company**: NVIDIA
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Engineer--Math-Libraries---Consumer-and-Embedded-Platforms_JR2026237-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_97f38374-524

## Description

We are looking for a Senior Software Engineer to join our team enabling CUDA Math Libraries on new and specialized platforms.

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.

**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.

**Requirements:**

- 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.

**Nice to Have:**

- 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).

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. 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.

## Skills

### Required
- C++
- Python
- parallel computing
- HPC software
- numerical methods
- CI/CD systems
- JIRA

### Nice to have
- CUDA
- GPU-accelerated computing
- MPI
- OpenMP
- OpenACC
- pthreads
- math libraries
- Agentic AI
- cross-platform software development

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Engineer--Math-Libraries---Consumer-and-Embedded-Platforms_JR2026237-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)