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!
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:Poland: 375,000 PLN – 650,000 PLN.
Germany: 141,900 EUR – 245,960 EUR.
Skills Required
- PhD or MSc in Computational Science, Computer Science, Applied Math, or related field (or equivalent experience)
- 12+ years developing, debugging, and optimizing high-performance parallel numerical applications with GPU acceleration using CUDA
- Excellent C/C++ programming and software design skills
- Proven experience leading and completing software development projects
- Excellent collaboration, communication, and documentation habits
- Knowledge of CPU and/or GPU hardware architecture
- Experience with CI/CD systems and project management tools such as JIRA
- Advanced debugging, profiling, and testing for accuracy and performance
- Scripting language skills, preferably Python
- Experience working in a globally distributed organization
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 — Feedback suggests equity grants, stock options/RSUs, and a discounted ESPP materially boost total compensation and can deliver significant wealth-building when the stock performs well.
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Healthcare Strength — Feedback suggests medical, dental, and vision plans with in-network preventive care at 100%, telehealth, and concierge-style support are comprehensive and valued.
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Parental & Family Support — Feedback suggests up to 22 weeks fully paid parental leave, fertility coverage, and adoption/surrogacy reimbursement provide strong family-focused benefits.
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.”
