Developer Technology Engineer Intern, AI - 2026 at NVIDIA

Seoul, South Korea, South Korea

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Not SpecifiedCompensation

InternshipExperience Level

InternshipJob Type

UnknownVisa

Technology, AIIndustries

Requirements

Pursuing a Master's degree or PhD in AI computation or system optimization with a strong computational profile
Strong knowledge of C++, software development, programming techniques, and AI algorithms
Strong communication and organization skills, with a logical approach to problem solving, good time management, and task prioritization skills
Proficiency in a specific domain, such as multi-modal model inference or reinforcement learning for LLMs

Responsibilities

Working closely with key application developers to understand and address their current and future challenges
Developing and optimizing core parallel algorithms and data structures, providing top solutions with GPUs through reference code and direct app contributions
Collaborating intimately with diverse groups at NVIDIA including architecture, research, libraries, tools, and system software teams
Influencing the development of next-generation architectures, software platforms, and programming models by investigating their impact on application performance and developer efficiency
Researching and developing innovative techniques in AI, conducting comprehensive analysis and optimization to ensure the best possible performance on current and next-generation GPU architectures

Skills

Key technologies and capabilities for this role

C++software developmentprogramming techniquesAI algorithmsparallel algorithmsGPU optimizationsystem optimizationdata structures

Questions & Answers

Common questions about this position

What education is required for this AI Developer Technology Engineer Intern role?

Candidates must be pursuing a Master's degree or PhD in AI computation or system optimization with a strong computational profile.

What technical skills are needed for this position?

Strong knowledge of C++, software development, programming techniques, and AI algorithms is required, along with proficiency in a specific domain such as multi-modal model inference or reinforcement learning for LLMs.

What soft skills are important for this intern role?

Strong communication and organization skills are needed, along with a logical approach to problem solving, good time management, and task prioritization skills.

What is the company culture like at NVIDIA for this team?

NVIDIA fosters a diverse work environment, values forward-thinking and hardworking people, and seeks creative and autonomous individuals. The DevTech team is a global organization focused on driving innovation.

What makes a strong candidate for this NVIDIA internship?

A strong candidate is a passionate student pursuing a Master's or PhD in AI computation or system optimization, with expertise in C++, AI algorithms, and a specific AI domain, plus excellent problem-solving and communication skills.

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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