Principal Research Scientists at NVIDIA

Tel Aviv-Yafo, TA, Israel

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Not SpecifiedCompensation

Expert & Leadership (9+ years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AIIndustries

Requirements

MS or PhD in Computer Science / Electrical Engineering
15+ Years of extensive machine learning / deep learning research or work experience
Knowledge of application areas such as natural language processing and speech processing
Excellent programming skills in some rapid prototyping environments such as Python
Expertise with deep learning frameworks such as PyTorch
A track record of research excellence demonstrated in publications at leading conferences and journals

Responsibilities

Lead the research on new deep learning algorithms and techniques for efficient LLM inference
Develop new architectures for advanced large language models
Design and adapt foundation AI models to downstream tasks such as math and code reasoning
Contribute these new models to Nemo framework
Construct and curate datasets for large-scale machine learning, for learning from human preferences, and for specific domains of applications
Work closely with product and hardware architecture teams to integrate your research and developments into products

Skills

Deep Learning

Natural Language Processing

Large Language Models

PyTorch

Python

C++

Neural Architectures

LLM Inference

Math Reasoning

Code Reasoning

Nemo Framework

Machine Learning

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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