NVIDIA 2026 Internships: PhD Computer Vision and Deep Learning Research at NVIDIA

Santa Clara, California, United States

NVIDIA Logo
Not SpecifiedCompensation
InternshipExperience Level
InternshipJob Type
UnknownVisa
Technology, Artificial IntelligenceIndustries

Requirements

  • Actively enrolled in a university pursuing a PhD degree in Computer Science, Electrical Engineering, or a related field, for the entire duration of the internship
  • Programming skills in Python, C++, CUDA, and Deep Learning Frameworks (PyTorch, TensorFlow, etc.)
  • Strong background in research with publications at top conferences
  • Excellent communication and collaboration skills
  • Research experience in at least one of the following areas: 3D Vision and Scene Understanding, Optical Flow/Scene Flow, SLAM, Depth Estimation, Digital Twins, Human-Centric Vision, Human Motion Modeling, Human avatar creation (Gaussian Avatar, Neural Human Avatars, Text to Avatar Generation), Physics-Based Clothing/Hair/Body Simulation, Neural Rendering and Generative 3D, Diffusion Models, World Models, Neural Radiance Fields (NeRFs), Novel View Synthesis, 3D Content Creation, Model Architectures and Efficiency, Efficient Deep Learning, Model pruning and compression, Efficient vision transformers, Neural Architecture Search (NAS), Multimodal and Vision-Language Models, Synthetic data generation, Weather and Atmospheric Simulation
  • Experience with large-scale model training (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
  • Deliver results including prototypes, patents, products, and/or publish original research

Skills

Python
C++
CUDA
PyTorch
TensorFlow
Computer Vision
Deep Learning

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters
1993Year Founded
$19.5MTotal Funding
IPOCompany Stage
Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries
10,001+Employees

Benefits

Company Equity
401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.
Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.
Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.
The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.
NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.
Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.
Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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