Artificial Intelligence Research Intern - Deep Learning at NVIDIA

Taipei, Taiwan

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Not SpecifiedCompensation

InternshipExperience Level

InternshipJob Type

UnknownVisa

TechnologyIndustries

Requirements

Ph.D. students in Computer Science/Engineering, Electrical Engineering, etc
Excellent knowledge of theory and practice of computer vision, natural language processing, speech/audio processing, and deep learning methods
Excellent programming skills in some rapid prototyping environment, such as Python, C++
Parallel programming (e.g., CUDA) is a plus
Knowledge of common machine learning frameworks, such as PyTorch
Outstanding research track record
Very good publication record
Excellent communication skills

Responsibilities

Research, design, and implement novel AI and deep learning methods
Publish original research
Collaborate with other team members and teams
Speak at conferences and events
Collaborate with external researchers

Skills

Key technologies and capabilities for this role

Computer VisionDeep LearningPythonC++CUDAPyTorchNatural Language ProcessingSpeech ProcessingMachine Learning

Questions & Answers

Common questions about this position

What qualifications are required for the AI Research Intern position?

Candidates must be Ph.D. students in Computer Science/Engineering, Electrical Engineering, etc., with excellent knowledge of computer vision, natural language processing, speech/audio processing, and deep learning methods, outstanding programming skills in Python or C++, knowledge of ML frameworks like PyTorch, an outstanding research track record, very good publication record, and excellent communication skills.

Where is the research team located?

The research team is located in Taipei.

What does the company culture look like at NVIDIA?

NVIDIA features an amazing and collaborative research organization that publishes at top venues, with forward-thinking and productive people; they seek creative and autonomous individuals and offer opportunities to shape a new team with real product impact.

What is the salary or compensation for this internship?

This information is not specified in the job description.

What makes a strong candidate for this AI Research Intern role?

Strong candidates are Ph.D. students with excellent expertise in computer vision, deep learning, and related areas, proven programming skills, a strong publication record, and excellent communication skills; a passion for boundary-pushing research with real-world impact is ideal.

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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