NVIDIA Logo

NVIDIA

Senior Research Scientist - AI Security

Reposted 2 Days Ago
Be an Early Applicant
In-Office or Remote
5 Locations
168K-305K Annually
Senior level
In-Office or Remote
5 Locations
168K-305K Annually
Senior level
Conduct novel research in AI security and cybersecurity, focusing on securing AI models, agents, systems, and infrastructure. Develop tools and processes to identify and remediate vulnerabilities, investigate adversarial machine learning, publish findings, and collaborate across NVIDIA. Present complex technical results to security, machine learning, and business audiences while contributing to secure software development and AI safety.
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 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.

HQ

NVIDIA Santa Clara, California, USA Office

2701 San Tomas Expressway, Santa Clara, CA, United States, Santa Clara

NVIDIA San Francisco, California, USA Office

San Francisco, United States

NVIDIA San Jose, California, USA Office

San Jose, United States

Similar Jobs

40 Minutes Ago
Remote or Hybrid
USA
140K-200K Annually
Senior level
140K-200K Annually
Senior level
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Provides customer-facing cybersecurity consulting focused on threat emulation, exposure management, red teaming, vulnerability management, penetration testing, and technical risk mitigation. Uses SafeMind, Falcon, and AI-enabled capabilities to evaluate exposures, refine risk outputs, advise technical and executive audiences, improve service delivery, and mentor junior consultants. Requires advanced security assessment, infrastructure, networking, operating system, automation, and scripting expertise, with occasional travel.
Top Skills: Agentic AiBurp SuiteCobalt StrikeFalconFirewallsGenerative AiLinuxLoad BalancersmacOSMail ServersMetasploitNessusNmapProxiesRoutersSafemindSwitchesUnixWeb ServersWindowsWireless Access Points
40 Minutes Ago
Remote or Hybrid
USA
85K-120K Annually
Senior level
85K-120K Annually
Senior level
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Serves as an embedded technical advisor to government customers, implementing, configuring, troubleshooting, and optimizing CrowdStrike Falcon environments in FedRAMP and DoD-accredited environments. Responsibilities include threat-hunting mentorship, incident-management guidance, security-tool integrations, scripting with Falcon APIs, vulnerability and asset-management support, project coordination, technical reporting, and customer training. Requires strong cybersecurity and consulting experience, government-clearance eligibility, U.S. citizenship or permanent residency, and up to 20% travel.
Top Skills: AcasActive DirectoryAWSAws GovcloudAzure AdAzure GovernmentBashBatchChefCitrixCrowdstrike FalconEmassFalcon ApisFedrampGoogle Assured WorkloadsGoogle Cloud PlatformGroup PolicyIbm BigfixLinuxLogscalemacOSMcafee EpoAzureMssqlNessusNist Sp 800-37PdqPowershellPsexecPuppetPythonRmfScapSccmSIEMSplunkSsoStig ViewerWindowsXacta
40 Minutes Ago
Remote or Hybrid
USA
85K-120K Annually
Entry level
85K-120K Annually
Entry level
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Perform real-time security operations for customers by triaging, investigating, and responding to alerts across endpoint, identity, email, and cloud environments. Analyze EDR telemetry, logs, and forensic artifacts; investigate Microsoft 365 threats such as BEC and AITM attacks; communicate findings and remediation guidance; and improve detection and response processes. The role requires foundational cybersecurity knowledge, strong troubleshooting and communication skills, scripting familiarity, and willingness to work a 4x10 schedule including weekends.
Top Skills: Active DirectoryAIBashEdrLinuxmacOSMicrosoft 365Microsoft Entra IdMitre Att&CkNg-SiemOktaPowershellPythonWindows

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account