NVIDIA is searching for several computer vision and deep learning interns to join the learning and perception research team for an internship. We are passionate about research that pushes boundaries but also has impact in the real world. You will be part of an amazing and collaborative research team that has a long history of publishing the results of internship projects at top venues in computer vision and machine learning. We have many experienced mentors in the team and our interns often choose to return for another internship. We carefully craft internship projects so they align with the intern’s expertise and interest.

What you’ll be doing:

• Research, design and implement novel computer vision and deep learning methods

• Work collaboratively with your mentor

• Publish original research

What we need to see:

• Must be pursuing a Ph.D. in Computer Science/Engineering, Electrical Engineering, etc.

• Excellent knowledge of theory and practice of computer vision methods, as well as deep learning

• Excellent programming skills in some rapid prototyping environment such as Python; C++ and parallel programming (e.g., CUDA) is a plus

• Knowledge of common machine learning frameworks, such as PyTorch

• Promising research track record

• Excellent communications skills

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous engineer who loves a challenge? Come join our GPU ASIC Verification team and help us build future architectures that will continue to drive us forward in the fields of computing, graphics and AI

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.