Generative AI Engineer Intern, Games - 2025 at NVIDIA

Shanghai, China

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Not SpecifiedCompensation

InternshipExperience Level

InternshipJob Type

UnknownVisa

GamingIndustries

Requirements

Pursuing B.S., M.S. or Ph.D. in EE/CS
Recent research experience in physics simulation, such as robot kinematics, material point method and fluid implicit particle
Strong knowledge of animation system, including state-based animation controllers, motion matching, inverse kinematics, rigging and skinning
Recent active experience with deep learning frameworks, Python, and C++ development
Ability to use CUDA (or parallel programming) for performance optimization
Working knowledge of graphics APIs (DirectX or Vulkan) and real-time applications
Sharp mathematical skills
Good communication and interpersonal skills in English and Mandarin

Responsibilities

Research and implement innovative generative AI algorithms for game engines and authoring tools, including real-time neural graphics, physics based animation and diffusion models
Develop neural graphics, animation and physics models and maintain open-source projects for both game-making and user runtimes
Integrate them into mainstream game engines and DCC tools
Use various optimization techniques, such as tensor fusion and quantization, to fit the AI models onto user devices and maximize the performance of inference for real-time gaming
Collaborate with game developers on optimizations and improvements for specific GenAI applications
Interact closely with the architecture and driver teams at NVIDIA in ensuring the best possible experience on current generation hardware, and on determining trends and features for next generation architectures

Skills

Python

C++

CUDA

DirectX

Vulkan

Deep Learning

Generative AI

Diffusion Models

Physics Simulation

Robot Kinematics

Material Point Method

Fluid Implicit Particle

Motion Matching

Inverse Kinematics

Rigging

Skinning

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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