NVIDIA is looking for a passionate, world-class computer scientists and engineers to work in its Compute Developer Technology (DevTech) team. DevTech is an elite team bridging customer requirements and NVIDIA solutions. Inside this team, you will conquer engineering and applied research challenges originated from real-world use cases together with talented, skilled and warm-hearted teammates. All talents of different backgrounds are welcome! We don't assume you know everything about GPU and CUDA. Especially, if you consider yourself an excellent C++ engineer and really love programming, please do submit your resume!
What you'll be doing:
Research and develop cutting-edge techniques in deep learning, machine learning, HPC (High Performance Computing), graphs and data analytics, and perform in-depth analysis and optimization to ensure the best performance on NVIDIA current- and next-generation accelerated computing platform, including GPU, CPU and DPU.
Work directly with key customers to understand the current and future problems they are solving and optimize their workloads to maximize performance on our platform.
Collaborate closely with the architecture, research, libraries, tools, and system software teams at NVIDIA to design and develop next-generation architectures, software platforms, and programming models.
What we need to see:
MS or PhD from university in engineering or computer science or related disciplines.
2+ years working experience
Strong knowledge of C/C++, software design, programming techniques, or AI algorithms and system.
Experience with accelerated computing, ideally CUDA C/C++/Python.
Good communication and problem-solving skills.
With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most brilliant and talented people on the planet working with us and our engineering teams are expanding fast. If you're a creative and autonomous computer scientist with a genuine passion for parallel computing, we want to hear from you.
Skills Required
- MS or PhD in engineering, computer science, or a related discipline
- 2+ years of professional work experience
- Strong knowledge of C or C++
- Knowledge of software design and programming techniques
- Knowledge of AI algorithms and systems
- Experience with accelerated computing
- Experience with CUDA C, CUDA C++, or Python
- Good communication and problem-solving skills
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 — Company stock and RSUs have driven exceptional total compensation, with a generous employee stock purchase plan and ongoing equity refreshers playing a central role. Feedback suggests historic share-price gains created significant financial upside for many.
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Healthcare Strength — Multiple plan options (HSA, PPO, and in some locations Kaiser) with in-network preventive care covered at 100% and company HSA contributions indicate a robust offering. Mental-health sessions and broad dental, vision, and disability coverage further strengthen the package.
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Parental & Family Support — Up to 22 weeks of fully paid parental leave, adoption and surrogacy reimbursement, and coverage for IVF and egg freezing are highlighted as standout features. Additional family-care resources and caregiving support broaden the appeal.
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.”
