NVIDIA
Full TimeDevelop novel computer vision and deep learning methods in areas including 3D vision, generative AI, and multimodal learning. You'll research, publish at top venues, collaborate across teams, and transfer technology to products. Requires a Ph.D. in Computer Science, Engineering, or related field, with published research at conferences like NeurIPS or CVPR, expertise in computer vision and deep learning theory, proficiency in PyTorch and Python, and strong communication skills.
Written from this posting by Neural Jobs AI. The full description is below.
NVIDIA is searching for several outstanding computer vision and deep learning researchers to join our research team. We are passionate about research that pushes boundaries but also has an impact in the real world. Specific areas we are excited by include but are not limited to computer vision for 3D vision, generative and multimodal AI (e.g., vision and language, audio-visual learning, etc.), as well as explainable and trustworthy AI. You will work within an amazing and collaborative research organization that consistently publishes at the top venues across computer science. You have the opportunity to join and shape a new research team, where your contributions can create a real impact on our products.
What you will 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.
Transfer technology to product groups.
Collaborate with external researchers.
What we need to see:
Must hold a Ph.D. in Computer Science/Engineering, Electrical Engineering, or a related field (or equivalent experience).
Excellent knowledge of theory and practice of computer vision and deep learning methods.
A track record of research excellence with your work published in top conferences and journals such as NeurIPS, ICML, ICLR, CVPR, PAMI, etc., and other research artifacts such as software projects.
Knowledge of common machine learning frameworks, such as PyTorch.
Excellent programming skills in some rapid prototyping environments such as Python; C++ and parallel programming (e.g., CUDA) is a plus.
Excellent communication 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!
We are an AA/EEO/Veterans/Disabled employer. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
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NVIDIA builds the GPUs and the CUDA software stack that most modern AI is trained and served on, along with its own research in graphics, robotics and foundation models.
Taiwan
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