Six Figure Work

Senior Research Scientist - AI Security

NVIDIA

Company websitenvidia.com (NVIDIA, opens in new tab)

Base salary $168,000  to $304,750

Employer-published annual base salary, USD. Advertised base range in Seattle, WA +5 more

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  • LocationSeattle, WA +5 more
  • WorkplaceWorkplace not stated
  • Status at last checkSource accepting applications when checked
  • Last checked (49 min ago) · observed since
All 6 locations
  • US, WA, Seattle
  • US, TX, Remote
  • US, CO, Remote
  • US, WA, Remote
  • US, CA, Remote
  • US, MA, Remote

About this job

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.


What you'll be doing:

  • 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.

What we need to see:

  • 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.

Ways to stand out from the crowd:

  • 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 other objective job-related factors. The expected base salary ranges for this position are:
168,000 USD – 264,500 USD for Level 3; and 192,000 USD – 304,750 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 3, 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.

Source: NVIDIA on Workday · View original posting (opens in new tab)

Pay in context

This role's base floor ($168,000) is above 72% of the 355 Data & ML roles in Washington listed on this site; 1 other lists the same floor. Their median floor is $143,700; the middle half runs from $136,000 to $169,050.

Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 8, 2026.

This range next to 6 other live NVIDIA roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live NVIDIA roles with the nearest advertised base floor
RolePublished base
Senior Research Scientist - AI Security (this listing)$168,000 - $304,750
L11 System Product Development Engineer$168,000 - $258,750
Senior Software Engineer, Network Visibility Platform - DGX Cloud$168K - $322K
Hardware Validation Procedures and Documentation Lead$168,000 - $258,750
Senior Software Engineer, Platform Engineering$168K - $322K
PhD Research Scientist, Fundamental Generative AI - New College Grad 2026$168,000 - $264,500
AI Engineering Manager - Finance$168K - $322K

Same $100K to $400K scale as every card. All NVIDIA roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2026-10-30
Where this pay comes from

Location as the employer wrote it: Multiple locations (6) (Levels 3-4 combined)

168,000 USD – 264,500 USD for Level 3; and 192,000 USD – 304,750 USD for Level 4.

Method
Employer text, read with fixed rules and re-verified
Checked
Rule set
us-base-v2

The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.

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