Research Scientist

Singapore, Singapore, Singapore

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Computer Hardware, Software DevelopmentIndustries

Requirements

Candidates must possess excellent knowledge of LLM and foundation models, with publications at leading conferences such as CVPR, ICML, ICLR, ICCV, or NeurIPS. A Bachelor's, Master's, or PhD degree in computer science or electrical engineering with a strong research track record is required, along with at least 2 years of experience. Excellent programming skills in a rapid prototyping environment like Python are necessary, and proficiency in C++ and parallel programming (e.g., CUDA) is a plus. Familiarity with common machine learning frameworks like PyTorch and excellent communication skills are also essential.

Responsibilities

The Research Scientist will research, design, and accelerate novel generative AI models, focusing on language models, visual generation, and robotics. They will publish original research, collaborate with internal teams and external researchers, and mentor interns. Additionally, the role involves speaking at conferences and events, and transferring technology to product groups.

Skills

Generative AI

LLM

Foundation Models

Machine Learning

PyTorch

Python

C++

CUDA

Robotics

Computer Vision

Research

Algorithm Design

Parallel Programming

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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