Senior Research Scientist at NVIDIA

Yokneam Ilit, North District, Israel -

Full Time

Start Date

Immediate

Expiry Date

26 Sep, 26

Salary

0.0

Posted On

28 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Deep Learning Frameworks, Machine Learning, Experimental Design, Technical Communication, Continual Learning, Model Compression, Large Language Models, Retrieval-Based Systems, Reasoning Models

Industry

Computer Hardware Manufacturing

Description

We are looking for a Research Scientist to join our AI research team and work on machine learning methods for efficient, reliable, and adaptive AI systems. Our team works on core AI research directions, including efficient model training, reasoning models, retrieval-based AI systems, and agentic learning. The role is research-oriented and is suitable for strong candidates after graduation, as well as candidates with prior research experience. The candidate will develop new methods, validate them through experiments, and help translate strong research ideas into practical NVIDIA AI systems. What you'll be doing: Conduct research in machine learning methods for efficient, reliable, and adaptive AI systems. Develop new approaches for efficient model training, reasoning models, retrieval-based AI systems, and agentic learning. Design, run, and analyze experiments on modern deep learning systems. Collaborate with research and engineering teams across NVIDIA. Publish high-quality research and help translate strong research ideas into practical NVIDIA AI systems. Contribute to NVIDIA’s broader AI research strategy. What we need to see: PhD in Computer Science, Electrical Engineering, Mathematics, or a related field, or equivalent research experience. At least 2 years of relevant research experience Strong Python skills and experience with modern deep learning frameworks. Track record of high-quality research or impactful applied research. Ability to design experiments, analyze results, and communicate technical ideas clearly. Ways to stand out from the crowd: Experience in continual learning, efficient training, reasoning models, retrieval-based systems, model compression, or large language models. Strong mathematical background with the ability to connect theory and practice. Experience running deep learning experiments at scale. Publications in top-tier ML/AI conferences or journals. Experience translating research into real systems or products. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.

Responsibilities

Conduct research on efficient, reliable, and adaptive AI systems, focusing on model training, reasoning, and agentic learning. Develop new methods, validate them through experiments, and translate research findings into practical NVIDIA AI systems.