Penn Foster
Research Scientist, Computer Vision and Deep Learning - New College Grad 2024
Penn Foster, Santa Clara, California, us, 95053
NVIDIA is searching for an outstanding computer vision and deep learning researcher to join the learning and perception research team. We are passionate about research that pushes boundaries but also has impact in the real world. Specific areas we are excited by include - but are not limited to - multi-modal learning (especially LLMs + images/videos), computer vision for autonomous machines, embodied computer vision, as well as digital humans and digital twinning. You will work within an amazing and collaborative research team that consistently publishes at the top venues in computer vision and machine learning. Our existing expertise includes computer vision, deep learning, generative models, and so forth. Your contributions have the chance to create real impact on our products.What you'll be doing:
Research, design and implement novel computer vision and deep learning methods.Publish original research.Collaborate with other team members and teams.Mentor interns.Speak at conferences and events.Work with product groups to transfer technology.Collaborate with external researchers.What we need to see:
Completing or recently completed a Ph.D. in Computer Science/Engineering, Electrical Engineering, etc., or have equivalent research experience.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.Outstanding 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 productive people in the world working for us. If you're creative and autonomous, we want to hear from you!The base salary range is $156,000 - $247,250. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. You will also be eligible for equity and benefits.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.
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Research, design and implement novel computer vision and deep learning methods.Publish original research.Collaborate with other team members and teams.Mentor interns.Speak at conferences and events.Work with product groups to transfer technology.Collaborate with external researchers.What we need to see:
Completing or recently completed a Ph.D. in Computer Science/Engineering, Electrical Engineering, etc., or have equivalent research experience.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.Outstanding 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 productive people in the world working for us. If you're creative and autonomous, we want to hear from you!The base salary range is $156,000 - $247,250. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. You will also be eligible for equity and benefits.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.
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