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.
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.Skills Required
- 12+ years 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.
- Experience developing, debugging, performance tuning, optimization, and benchmarking of algorithms on various architectures.
- PhD or MSc in Computational Science, Computer Science, Applied Math, or related field (or equivalent experience).
- Good knowledge of CPU and/or GPU hardware architecture.
- Experience with CI/CD systems and project management tools such as JIRA.
- Experience working in a globally distributed organization.
- Advanced skills in debugging, profiling, and testing for accuracy and performance.
- Experience with a scripting language, preferably Python.
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
