PhD Research Intern, Computer Vision and Deep Learning - 2025

Details

By submitting your resume, you’re expressing interest in one of our 2025 Computer Vision and Deep Learning Research focused Internships. We’ll review resumes on an ongoing basis, and a recruiter may reach out if your experience fits one of our many internship opportunities.

NVIDIA pioneered accelerated computing to tackle some of the world's hardest problems and discover never-before-seen ways to improve the quality of life for people everywhere. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society — from gaming to robotics, self-driving cars to life-saving healthcare, climate change to virtual worlds where we can all connect and create. You will be part of an amazing collaborative research team that consistently publishes at the top venues.

Our internships offer an excellent opportunity to expand your career and get hands on with one of our industry leading Computer Vision and Deep Learning Research teams. We’re seeking strategic, ambitious, hard-working, and creative individuals who are passionate about helping us tackle challenges no one else can solve.

Responsibilities

• Design and implement novel computer vision and machine learning methods.
• Collaborate with other team members, teams, and/or external researchers.
• Transfer your research to product groups to enable new products or types of products. Deliverable results include prototypes, patents, and products.

Requirements

• Currently pursuing a PhD Degree in relevant discipline(s) (CS, CE, EE, Physics, Math).
• Research experience in at least one of the following areas:
  • 3D Human Reconstruction
  • Generative Modeling of Humans
  • Human avatar creation, Gaussian Avatar, Neural Human Avatars, Text to Avatar Generation
  • Digital Twins
  • Diffusion Models
  • Generative World Models
  • Physics-Based Clothing/Hair/Body Simulation
  • Neural Radiance Field
  • Novel View Synthesis
  • Efficient Deep Learning
  • Reinforcement Learning
  • Autonomous Vehicles
  • Foundation Models
  • Self-Supervised Learning
  • Scenario Generation and Simulation
  • Verification and Validation of Safety-Critical AI Systems
• 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.
• Strong research track record and publication record at top-tier conferences.
• Excellent communication skills.

Benefits

The hourly rate for our interns is 30 USD - 90 USD. Our internship hourly rates are a standard pay determined based on the position and your location, year in school, degree, and experience. You will also be eligible for Intern benefits.