NVIDIA Logo

NVIDIA

Senior Research Scientist - AI Security

Posted Yesterday
Be an Early Applicant
In-Office or Remote
5 Locations
192K-357K Annually
Senior level
In-Office or Remote
5 Locations
192K-357K Annually
Senior level
Conducts novel research in AI security and cybersecurity, focusing on protecting AI models, agents, systems, and infrastructure. Develops tools and processes to identify and remediate weaknesses, researches adversarial machine learning and generative AI security, publishes findings, and collaborates across teams to improve security practices.
The summary above was generated by AI

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 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.

Similar Jobs

28 Seconds Ago
In-Office or Remote
United States
78K-110K Annually
Senior level
78K-110K Annually
Senior level
Events • Food • Travel • Hospitality • Hotels & Resorts
Leads a recruiting operations team supporting candidate onboarding and analytics. Oversees service delivery, performance, compliance, workforce planning, reporting, dashboards, data governance, and process improvement. Partners with recruiting and HR stakeholders to translate data into actionable recommendations, improve operational efficiency, and enhance candidate and stakeholder experiences. Coaches team members and manages productivity, service levels, quality, and workload distribution.
Top Skills: Automated ReportingBusiness IntelligenceDashboardsExcelOtbiPower BIReporting And Analytics ToolsSQLTableau
4 Minutes Ago
Easy Apply
Remote
United States
Easy Apply
173K-203K Annually
Senior level
173K-203K Annually
Senior level
Artificial Intelligence • Fintech • Software • Travel
Own Engine’s end-to-end rate distribution strategy across channels, partners, programs, and customer segments. Design rate distribution programs, segmentation, rate products, fencing rules, loading standards, and integrity monitoring. Partner with Product, Engineering, Operations, Finance, Supply, and Partnerships to create a scalable operating model, roadmap, tooling, and dashboards. Collaborate with account owners to position programs for chain and distribution partners while influencing cross-functional execution and tracking industry trends.
4 Minutes Ago
Easy Apply
Remote or Hybrid
IN, USA
Easy Apply
Mid level
Mid level
Artificial Intelligence • Cloud • Information Technology • Security • Social Impact • Software
Own the vision, strategy, roadmap, and lifecycle of AI capabilities for AlertMedia’s risk intelligence and response platform. Conduct customer discovery, define problem statements, prioritize initiatives, and partner with Engineering and Design through delivery. Build AI-powered prototypes, measure product outcomes, support go-to-market enablement, and analyze usage data. The role requires enterprise B2B software product management experience, familiarity with AI-native products and LLM capabilities, strong analytical judgment, and understanding of Agile delivery, APIs, integrations, and data pipelines.
Top Skills: AgileAIAPIsClaude CodeClaude DesignCodexConfluenceData PipelinesJIRALlmsProduct Analytics SoftwareSystem Integrations

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account