Senior Research Scientist - AI Security

NVIDIA•Seattle, WA

About The Position

NVIDIA’s Agentic Cybersecurity Research team is seeking an AI security researcher to develop technology that protects AI models, systems, and infrastructure and uses AI to secure systems. The role focuses on research spanning both the use of models and agents to improve cybersecurity and the security of models and agents. The work contributes to new problems in AI and security and supports the development of safe and secure AI and systems. The researcher will develop tools and processes to expose or remediate novel weaknesses in conventional and AI systems. They will present research through peer-reviewed publications and other communications with security, machine-learning, and business communities, and share results across NVIDIA to help address security problems in varied contexts. The position offers a base salary range of $168,000–$264,500 for Level 3 and $192,000–$304,750 for Level 4, determined by location, experience, and compensation for comparable employees. The employee will also be eligible for equity and benefits. Applications will be accepted at least until October 30, 2026. This posting is for an existing vacancy.

Requirements

Master’s or PhD degree in Computer Science, Computer Engineering, Data Science, or a related field, or equivalent experience.
At least 5 years of experience in machine learning, cybersecurity, or closely related fields.
Demonstrated programming expertise.
Outstanding knowledge of AI and conventional software weaknesses and mitigation strategies.
In-depth understanding of Generative AI workflows.
Self-starter with enthusiasm for continuous learning and sharing findings.
Motivation and curiosity about new technologies.
Ability to present sophisticated technical information clearly.

Nice To Haves

Strong collaboration skills and a history of successful cross-functional projects.
Experience discovering CVEs or building successful tooling.
Knowledge of adversarial machine learning and techniques for defending against adversarial techniques.
Experience with secure software development practices.
Ability to build human-friendly resources.

Responsibilities

Conduct novel and creative research to improve cybersecurity and AI, including using models and agents to improve cybersecurity and securing models and agents.
Contribute research on emerging problems in AI and security.
Develop tools and processes to expose or remediate novel weaknesses in conventional and AI systems.
Present research results in peer-reviewed venues or through other communication with security, machine-learning, and business communities.
Share results with teams across NVIDIA and help solve relevant problems in a range of contexts.