Research Scientist at NVIDIA

Singapore, Singapore, Singapore

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Machine Learning, Robotics, Computer VisionIndustries

Requirements

Excellent knowledge of LLM and foundation models
Publication at leading conferences (e.g., CVPR, ICML, ICLR, ICCV, NeurIPS, etc.)
2 years of experience
Bachelor, master, or PhD degree in computer science or electrical engineering with strong research track records
Excellent programming skills in rapid prototyping environments such as Python
C++ and parallel programming (e.g., CUDA) is a plus
Knowledge of common machine learning frameworks, such as PyTorch
Excellent communication skills

Responsibilities

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

Skills

Key technologies and capabilities for this role

PythonC++CUDAPyTorchLLMFoundation ModelsGenerative AI

Questions & Answers

Common questions about this position

What experience and education are required for this Research Scientist role?

Candidates need 2 years of experience and a Bachelor, Master, or PhD degree in computer science or electrical engineering with strong research track records.

What technical skills are needed for this position?

Excellent programming skills in Python are required, with C++ and parallel programming like CUDA as a plus, along with knowledge of machine learning frameworks such as PyTorch.

What is the location for this Research Scientist job?

The role is with the NVIDIA Research Singapore team.

What is the team environment like at NVIDIA Research Singapore?

You will be part of an amazing collaborative research team that consistently publishes at top venues in machine learning, robotics, and computer vision.

What makes a strong candidate for this role?

A strong candidate has excellent knowledge of LLM and foundation models, publications at leading conferences like CVPR, ICML, ICLR, ICCV, NeurIPS, and excellent 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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