Senior Research Scientist - AI Security

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Quick Summary

Key Responsibilities

Novel and creative research on improving cybersecurity and AI. Our work focuses both on using models and agents to improve cybersecurity, as well as securing models and agents.

Requirements Summary

Master’s or PhD Degree in Computer Science, Computer Engineering, Data Science, or a related field (or equivalent experience). Experience of 5+ years in machine learning, cybersecurity,

Technical Tools

Data ScientistData

Ready to expand the limits of AI security research? NVIDIA’s Agentic Cybersecurity Research team is searching for a motivated AI Security Researcher to innovate and improve the protection of AI models, systems, and infrastructure. Come work with us, where your knowledge will contribute to developing advanced technology that secures AI and systems through AI.

Our work in Security and AI is globally visible and helps drive the frontier of the whole industry. We are looking for a researcher with hands-on safety and security experience in agents to help us innovate and improve protection of AI models, systems and infrastructure. In this role you will research and develop technology that secures AI and systems using AI.

Responsibilities

~1 min read

→Novel and creative research on improving cybersecurity and AI. Our work focuses both on using models and agents to improve cybersecurity, as well as securing models and agents.
→Contribute research on new and exciting problems in AI and security. The world needs secure systems and needs AI to be safe and secure. As stewards of AI, at NVIDIA you will help address the problems in this space.
→Developing tools and processes to expose or remediate novel weaknesses in conventional and AI systems.
→Presenting results, by publishing them in peer-reviewed venues, or sharing them with the security, machine learning, and business communities in other ways.
→Improving AI and security at NVIDIA by sharing your results with other teams across the company and solving relevant problems in a wide range of contexts.

Requirements

~1 min read

Master’s or PhD Degree in Computer Science, Computer Engineering, Data Science, or a related field (or equivalent experience).
Experience of 5+ years in machine learning, cybersecurity, or closely related fields.
Shown programming expertise.
Outstanding knowledge of AI and conventional software weaknesses and mitigation strategies.
In-depth understanding of Generative AI workflows.
Self-starter with a passion for growth, enthusiasm for continuous learning, and sharing findings.
Motivated and curious about new technologies.
Ability to present sophisticated technical information clearly.

Tight-knit collaboration skills with a history of successful cross-functional projects.
Discovered CVEs, built successful tooling.
Knowledge of adversarial machine learning and techniques to defend against adversarial techniques.
Experience with secure software development practices.
Ability to build human-friendly resources.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 192,000 USD - 304,750 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 24, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.