Deep Learning Engineering Intern - 2026 at NVIDIA

Shanghai, China

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Not SpecifiedCompensation

Internship, Entry Level & New GradExperience Level

InternshipJob Type

UnknownVisa

AI, Technology, AutomotiveIndustries

Requirements

Subject to arrangement to different works at any time to take on different tasks and challenges
Self-motivated attitude and motivation to make things success, intent to learn
BS/MS degree in Computer Science/EE or related
Proven fundamentals in C++/Python programming and SW design and debug skills
Abundant knowledge of ML/DL techniques for Computer Vision and autonomous driving
Believe that experimenting is the only way to find the truth, not argument and arbitrary guess
Located in Shanghai or willing to work in Shanghai
Ways to stand out (Preferred)
DNN development and network acceleration is highly desired
Familiarity with GPU computing/NVIDIA CUDA/NVIDIA TensorRT

Responsibilities

Work on research, design and implementation of software features that are beneficial to our customers to meet their performance targets and build unique values
World model and NVIDIA Cosmos related development and bug fixes
Develop solutions for DNN models acceleration optimization and deployment

Skills

C++

Python

Deep Learning

Machine Learning

Computer Vision

Autonomous Driving

CUDA

GPU Computing

DNN Optimization

Software Design

Debugging

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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