Job description

Join our multidisciplinary team and help build and improve GPU and CPU accelerated software libraries. Projects like nvComp, NPP, nvJPEG, nvJPEG2000, nvTIFF, nvImageCodec are used in all kinds of processing workflows and support NVIDIA's vision and growth. Starting from powering AI, data analytics, image processing, computer vision, and scientific simulations for leading commercial and academic organizations worldwide. In this role, you will design, develop, and optimize pioneering algorithms. Ideal candidates will have experience with accelerated computing and a passion for advancing the state-of-the-art in various computing domains. If this sounds exciting, we would love to meet you! What you’ll be doing: • developing scalable library software using modern tools and languages for various numerical method • performance tuning, optimization, and benchmarking of algorithms on various architectures. • working closely with product management and other internal and external partners to understand feature and performance requirements and contributing to the technical roadmaps of libraries, • providing technical leadership and guidance to library engineers working with you, • find opportunities to improve library performance and abstractions that allow to re-architect code for reduced maintenance cost. What we need to see: • PhD or MSc’s degree in Computational Science, Computer Science, Applied Math, or related science or engineering field of study is preferred (or equivalent experience). • 12+ years experience developing, debugging, and optimizing high-performance parallel numerical applications on modern computing platforms, with GPU acceleration using CUDA • Excellent C/C++ programming and software design skills • Proven experience in leading and completing software development projects. • Excellent collaboration, communication, and documentation habits. Ways to stand out from the crowd: • Good knowledge of CPU and/or GPU hardware architecture, • Experience with adopting and advancing, software development practices such as CI/CD systems and project management tools such as JIRA, • Experience with working in a globally distributed organization, • Advanced skills in debugging, profiling, and testing for accuracy and performance, • A scripting language, preferably Python. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! #LI-Hybrid Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until August 16, 2026. This posting is for an existing vacancy. 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.

Requirements

Must-haves

developing scalable library software using modern tools and languages for various numerical method
performance tuning, optimization, and benchmarking of algorithms on various architectures.
working closely with product management and other internal and external partners to understand feature and performance requirements and contributing to the technical roadmaps of libraries,
providing technical leadership and guidance to library engineers working with you,
find opportunities to improve library performance and abstractions that allow to re-architect code for reduced maintenance cost.
12+ years experience developing, debugging, and optimizing high-performance parallel numerical applications on modern computing platforms, with GPU acceleration using CUDA
Excellent C/C++ programming and software design skills
Proven experience in leading and completing software development projects.
Excellent collaboration, communication, and documentation habits.
Good knowledge of CPU and/or GPU hardware architecture,
Experience with adopting and advancing, software development practices such as CI/CD systems and project management tools such as JIRA,
Experience with working in a globally distributed organization,
Advanced skills in debugging, profiling, and testing for accuracy and performance,
A scripting language, preferably Python.
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until August 16, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.

Nice-to-haves

PhD or MSc’s degree in Computational Science, Computer Science, Applied Math, or related science or engineering field of study is preferred (or equivalent experience).

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aici/cdjirapython

Platform: eightfold
Effort: medium

Benefits

Benefits detected in the listing.

Vision