We are now looking for a Senior AI Research Scientist – Agentic AI for Science
NVIDIA is seeking a Senior AI Scientist to join the Quantum & Chemistry group. As the team member, you will be part of the development effort of an AI for science agentic system. This work involves collaboration with domain scientists and software engineers that will be carrying out research in agentic science. The agents will be used in a close collaboration with Eli Lilly and Company.
What You’ll Be Doing:
Research at the frontier of Agentic Science.
Topics of research interest include agentic efficiency and reliability, scalability, and effective tool use.
Research on approaches for the integration of Agents with real science experiments.
Developing a framework for agentic AI science that is integrated with NVIDIA tools in collaboration with software engineers.
Solve science problems with our collaborators.
Participating in code reviews, technical design discussions, and continuous improvement activities within the team
What We Need to See:
Ph.D. in Computer Science, Engineering, or a related field (or equivalent experience) or a domain science such as Physics, Chemistry, Materials Science.
5+ years of hands-on experience in AI research.
Strong understanding of software design patterns, architectural principles, and standard methodologies in complex distributed systems
Knowledge of AI for science tools, including Agents.
Experience working with both Linux and Windows operating systems
Strong problem-solving and analytical thinking, with the ability to deliver high-quality code and resilient services
Excellent communication skills and an ownership-driven approach
Python proficiency
Ways to Stand Out from the Crowd:
Knowledge and experience of Agentic Frameworks
Experience in AI for Science
NVIDIA's invention of the GPU revolutionized parallel computing. Our GPUs are being used in many of the largest high-performance computing projects around the world, solving real world problems, including advancing the state of Quantum Information Science. NVIDIA is widely considered to be one of high technology's most desirable employers. We have some of the most forward-thinking and experienced people in the world working for us. Our goal is to craft an environment where we can do our life's best work. If you're creative, autonomous, and highly motivated, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
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 Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
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What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
