Research Scientist, Deep Learning and Computer Vision - New College Graduate at NVIDIA

Taipei, Taiwan

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Not SpecifiedCompensation

Entry Level & New GradExperience Level

Full TimeJob Type

UnknownVisa

Technology, AIIndustries

Requirements

Must hold a Ph.D. in Computer Science/Engineering, Electrical Engineering, or a related field (or equivalent experience)
Excellent knowledge of theory and practice of computer vision and deep learning methods
A track record of research excellence with work published in top conferences and journals such as NeurIPS, ICML, ICLR, CVPR, PAMI, etc., and other research artifacts such as software projects
Knowledge of common machine learning frameworks, such as PyTorch
Excellent programming skills in some rapid prototyping environments such as Python; C++ and parallel programming (e.g., CUDA) is a plus
Excellent communication skills

Responsibilities

Research, design and implement novel computer vision and deep learning methods
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

Computer VisionDeep LearningPyTorchPythonC++CUDA3D VisionGenerative AIMultimodal AIMachine Learning

Questions & Answers

Common questions about this position

What qualifications are required for this Research Scientist position?

Candidates must hold a Ph.D. in Computer Science/Engineering, Electrical Engineering, or a related field (or equivalent experience), have excellent knowledge of computer vision and deep learning methods, a track record of research excellence with publications in top venues like NeurIPS, ICML, ICLR, CVPR, and PAMI, knowledge of PyTorch, and excellent programming skills in Python (C++ and CUDA a plus). Excellent communication skills are also required.

Is this a remote position or does it require working in an office?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

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

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 makes a strong candidate for this Research Scientist role?

A strong candidate will have a Ph.D. or equivalent, demonstrated research excellence through top-tier publications in venues like NeurIPS, CVPR, and ICML, hands-on experience with computer vision, deep learning, PyTorch, and Python, plus 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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