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:

• Ph. D. or MS (or equivalent experience) in Computer Science, Electrical Engineering, Artificial Intelligence, or Applied Math

• 8+ years of proven industry experience

• 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

The base salary range is 180,000 USD - 345,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.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.