Health Equity Research (HER) Research Project Intern null

Your Role

What you'll be doing:

• Apply your experience and knowledge in areas of AI, mathematics, accelerated computing, and relatable areas such as computer vision, and machine learning.
• Conduct HER and Modulus engineering by playing with software and hardware and collaborating with external researchers. Partner with internal groups to transfer technologies and innovate products.
• Assist in building neural operators in modulus and FP8 optimization on GPU. With the state-of-the-art AI models, you can even create a new solver for some scientific function or optimize the AI models with FP8 on GPUs. It can also help you use multiple SDKs or frameworks to realize your idea.
• Mainly works in Beijing office, 3~4 days/week with at least 6 months available

About You

What NVIDIA needs to see:

• You are pursuing a Masters in Computer Science, Mathematics, Electrical Engineering, or a related discipline.
• Programming experience and proficiency in Python, C/C++, and familiarity with Linux developing environment.
• Ability to communicate effectively in a collaborative environment.

Ways to stand out from the crowd:

• Have knowledge of developing PINN operators or doing FP8 optimizations.
• Experience and/or theoretical knowledge in computer vision, PINN, and Artificial Intelligence.
• Experience in CUDA and deep learning frameworks (i.e. TensorFlow or PyTorch).
• Knowledge of using DNN to solve PDE or brain-inspired computing background.

Benefits

NVIDIA helps interns succeed and grow through comprehensive benefits such as:

• Intern Experience
• Healthcare Programs
• Time Off & Holidays
• Well-Being
• Learning & Development

Training & Development

The NVIDIA Deep Learning Institute (DLI) offers resources for diverse learning needs—from learning materials to self-paced and live training to educator programs. Individuals, teams, organizations, educators, and students can now find everything they need to advance their knowledge in AI, accelerated computing, accelerated data science, graphics and simulation, and more.

Career Progression

Interns at NVIDIA are employees. They do real work, on real projects, side by side with some of the industry's brightest minds. Interns get hands-on with never-before-seen technologies and the latest software and hardware developments.

How to Apply

NVIDIA hiring process:

• Search and apply
• Meet
• Join the team

Sources

The following sources were used in researching this page:

• nvidia.com/en-us/about-nvidia/careers/how-we-hire/
• nvidia.com/en-us/about-nvidia/careers/university-recruiting/
• nvidia.com/en-us/benefits/interns/
• learn.nvidia.com/
• youtube.com/@NVIDIA