NVIDIA 2027 Internships: Ph.D. Research Computer Vision and Deep Learning

NVIDIA
Santa Clara
Workplace: OnsiteInternshipUSD 38 - 94 hourlyFunction: Data Science & Machine LearningEducation: phdSkills: ["Communication","Collaboration","Research"]

Design and implement novel computer vision and deep learning methods, collaborating with internal team members, other teams, and external researchers. Translate research into product groups to enable new product capabilities and deliverables such as prototypes, patents, and original published research. This internship is geared toward Ph.D. students pursuing computer vision and deep learning research with strong communication, collaboration, and research credentials.

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NVIDIA
NVIDIA
1 day ago

NVIDIA 2027 Internships: Ph.D. Research Computer Vision and Deep Learning

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Job Summary

Design and implement novel computer vision and deep learning methods, collaborating with internal team members, other teams, and external researchers. Translate research into product groups to enable new product capabilities and deliverables such as prototypes, patents, and original published research. This internship is geared toward Ph.D. students pursuing computer vision and deep learning research with strong communication, collaboration, and research credentials.
Location: Santa Clara
Workplace: Onsite
Employment Type: Internship
Job Function: Data Science & Machine Learning
Seniority: Intern level

Key Responsibilities

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

Pay and Benefits

Salary: USD 38 - 94 hourly

Key Requirements

  • •Actively enrolled in a university pursuing a Ph.D. in Computer Science, Electrical Engineering, or a related field for the full internship duration.
  • •Include your anticipated graduation date (month and year) on your resume or CV.
  • •Programming skills and technologies may include Python, C++, CUDA, and deep learning frameworks such as PyTorch or TensorFlow.
  • •Strong background in research with publications at top conferences.
  • •Excellent communication and collaboration skills, with large-scale model training experience as a plus.
Experience:Computer visionDeep learningResearch
Education:PhD / Doctorate in Computer Science, Electrical Engineering, or a related field
Skills:CommunicationCollaborationResearch
Tech Stack:PythonC++CUDAPyTorchTensorFlow

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
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