PhD Research Intern, AI and ML Graphics - 2026 at NVIDIA

Helsinki, South Finland, Finland

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Not SpecifiedCompensation

InternshipExperience Level

InternshipJob Type

UnknownVisa

Technology, AI, GraphicsIndustries

Requirements

Must be actively enrolled in a university pursuing a PhD degree in Computer Science, Electrical Engineering, Machine Learning, or related field for the entire duration of the internship
Strong programming skills in Python, C++, CUDA and deep learning frameworks (PyTorch, JAX, TensorFlow)
Strong research background with publications at top conferences (SIGGRAPH, NeurIPS, ICML, ICCV, CVPR, etc.)
Excellent communication and collaboration skills
Research experience in at least one of the following areas: Diffusion Models for Image/Video Generation, Text-to-Image/Video Foundation Models, Multimodal Vision-Language Models, Neural Radiance Fields (NeRFs) and 3D Generation, Real-Time Generative AI and Optimization, Computer Vision for Graphics Applications, AI-Powered Content Creation and Synthesis, Transformer Architectures for Visual Data, Physics-Based Simulation with AI, Synthetic Data Generation for Graphics
Experience with large-scale model training and deployment (plus)

Responsibilities

Design and implement generative AI algorithms that push the boundaries of real-time graphics and visual content creation
Develop text-to-image and text-to-video foundation models optimized for interactive graphics applications
Integrate breakthrough diffusion models and transformer architectures with traditional graphics pipelines to create innovative products
Pioneer AI-powered content generation techniques for real-time rendering and simulation
Collaborate with world-class researchers, engineers, and external research partners
Deliverable results include prototypes, patents, products, and/or publishing original research at top-tier conferences

Skills

Generative AI

Machine Learning

Computer Graphics

Real-time Rendering

Diffusion Models

Transformer Architectures

Text-to-Image

Text-to-Video

Foundation Models

Slang

GPU Programming

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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