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Form of workNVIDIA's deep learning and HPC platforms have made major impact to various fields is broadly used across leading academic institutions, research labs, start-ups, and industry, including world's largest companies. We are looking for a passionate, hard-working and creative intern to help us take on more of these unique opportunities in HPC and deep learning solutions
What you'll be doing:
- Work with some of the brightest minds in a leading AI company to research, develop and implement methods for AI driven real world science and engineering problems
- Stay up to date with the latest research and innovations in deep learning techniques, publish papers, attend conferences and interact/work with universities, national labs and industry to demonstrate thought leadership in AI driven computational sciences and engineering
What we need to see:
- Pursuing a Masters or PhD in computer science, computational science/engineering, or related technical field
- Python programming skills
- Knowledge of neural networks as well as traditional machine learning techniques and algorithms
- Solid background with neural network architectures (CNN variants, LSTMs, GANs, GNNs, Diffusion models, etc.) and experience in developing or using major deep learning frameworks (e.g. TensorFlow, PyTorch, etc).
- Experience with solving and using machine learning for real world problems involving scientific/engineering simulations (e.g. CFD, life sciences, high energy physics, climate, oil & gas, structural, quantum chemistry, electromagnetics, optics, acoustics etc.) and/or scientific visualization is a big plus
Ways to stand out from the crowd:
- Knowledge of optimization, geometry, parallel computing
- Application of machine learning techniques to physics and possibly sensor/imaging data
- Published papers in AI driven computational sciences and engineering in a conference or journal in the last 5 years
- Hands-on experience in developing generative AI models
The hourly rate for our interns is 19 USD - 93 USD. Our internship hourly rates are a standard pay determined based on the position and your location, year in school, degree, and experience.
You will also be eligible for Intern benefits. NVIDIA accepts applications on an ongoing basis.
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.
