PhD Researcher: Vision & Deep Learning Internship

NVIDIA AI

Santa Clara (CA)

On-site

USD 52,000 - 129,000

Part time

22 hours ago
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Benefits offered by this job

Intern benefits

Job summary

NVIDIA invites PhD candidates to join our AI research internship in Santa Clara, CA, working on cutting-edge computer vision and deep learning. You will design and implement novel methods, collaborate with multiple teams and external researchers, and translate research into prototypes, patents, or products.

You will be part of a world-leading team pursuing ambitious research, with opportunities to publish and contribute to real-world NVIDIA products.

Qualifications

  • Must be actively enrolled in a university pursuing a Ph.D. degree for the full duration of the internship; anticipated graduation date must be indicated on resume/CV.
  • Programming skills: Python, C++, CUDA, PyTorch, TensorFlow.
  • Strong research background with publications at top conferences.
  • Excellent communication and collaboration skills.
  • Experience with large-scale model training is a plus.

Responsibilities

  • Design and implement novel computer vision and deep learning methods.
  • Collaborate with other team members, teams, and/or external researchers.
  • Transfer research to product groups to enable new products or types of products; deliverables include prototypes, patents, products, and/or publishing original research.

Skills

Python
C++
CUDA
Deep Learning Frameworks
Publications in top conferences
Communication skills
Large-scale model training

Education

PhD student in Computer Science, Electrical Engineering, or related field

Tools

PyTorch
TensorFlow

Job description

NVIDIA invites PhD candidates to join our AI research internship in Santa Clara, CA, working on cutting-edge computer vision and deep learning. You will design and implement novel methods, collaborate with multiple teams and external researchers, and translate research into prototypes, patents, or products.

You will be part of a world-leading team pursuing ambitious research, with opportunities to publish and contribute to real-world NVIDIA products.

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