NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years! It’s an outstanding legacy of innovation that’s fueled by phenomenal technology—and outstanding people! Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is encouraged to do their best work. Come join the team and see how you can make a lasting impact on the world.
What you'll be doing:
Develop new deep learning-based approaches to improve capabilities of large AI Models.
Design and implement techniques for post training such as model alignment.
Transfer your research to NVIDIA’s software product teams.
Publish your research at conferences such as EMNLP, ACL, ICLR, ICML, NeurIPS, etc.
Partner with AI researchers in leading universities and industrial research labs.
Open source your models and algorithms as part of NVIDIA NeMo.
What we need to see:
Pursuing a Ph.D. or MS (or equivalent experience) in Computer Science, Electrical Engineering, Artificial Intelligence, or Applied Math
Strong understanding of Deep Learning with applications in NLP
Publication and product record in NLP, Speech or Multi-modal AI
Ability to independently set and complete research agenda
Excellent knowledge and hands-on experience with Python and Pytorch
Understanding of optimization theory, stochastic algorithms, and/or numerical methods.
Excellent communication and interpersonal skills are required along with the ability to work in a dynamic, product oriented and distributed team.
Ways to stand out from the crowd:
Good track record of leading published research projects
Contribution to open-source software
Strong C++ and/or CUDA programming skills
Reinforcement learning experience
Systems software engineering knowledge and expertise in optimizing software for computational performance
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 a diverse 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.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.
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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.”
