[Remote] AI Research Intern at NVIDIA

Singapore

NVIDIA Logo
Not SpecifiedCompensation
InternshipExperience Level
InternshipJob Type
UnknownVisa
Technology, Artificial IntelligenceIndustries

Requirements

  • Excellent knowledge of LLM and foundation models
  • Publication at leading conferences (e.g., CVPR, ICML, ICLR, ICCV, NeurIPS, etc.)
  • Pursuing a PhD degree in computer science or electrical engineering with strong research track records
  • Excellent programming skills in Python (rapid prototyping environment)
  • C++ and parallel programming (e.g., CUDA) is a plus
  • Familiar with machine learning frameworks
  • Excellent communication skills

Responsibilities

  • Research, design and accelerate novel generative AI models
  • Publish original research
  • Collaborate with other team members
  • Speak at conferences and events
  • Transfer technology to product groups

Skills

Key technologies and capabilities for this role

PythonC++CUDALLMFoundation ModelsMachine Learning FrameworksGenerative AI

Questions & Answers

Common questions about this position

What qualifications are required for the AI Research Intern position?

Candidates must have excellent knowledge of LLM and foundation models, publications at leading conferences like CVPR, ICML, ICLR, ICCV, NeurIPS, be pursuing a PhD in computer science or electrical engineering with strong research track records, excellent programming skills in Python (C++ and CUDA a plus), familiarity with machine learning frameworks, and excellent communication skills.

Is this a full-time or part-time internship?

This is a full-time internship position.

What does the team work on at NVIDIA Research Singapore?

The team is dedicated to the development and optimization of GPU-accelerated efficient AI computing, covering language models, visual generation, and robotics, while pushing the boundaries of generative AI with powerful and efficient models.

What will I be doing as an AI Research Intern?

You will research, design, and accelerate novel generative AI models, publish original research, collaborate with team members, speak at conferences and events, and transfer technology to product groups.

What is the compensation for this internship?

This information is not specified in the job description.

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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