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NVIDIA

Senior Research Scientist, AI for Cybersecurity

NVIDIA

. Define a high-impact research agenda and lead projects advancing AI models and agents for cybersecurity .

Posted 10/22/2026full-timeUnited StatesSenior💰 $224,000 - $431,250 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in AI model development for cybersecurity, with a focus on vulnerability discovery, threat detection, and security operations. Proven ability to lead research projects, mentor teams, and translate research into practical applications.

Highest-signal resume keywords
Ph.D. In Computer Science5+ Years Of Relevant ExperienceDeep Expertise In Agentic AIPython And AI/ML FrameworksStrong Experimental And Prototyping Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
AI Model DevelopmentVulnerability DiscoveryThreat DetectionMalware AnalysisSecurity ReasoningModel TrainingProgram AnalysisIntrusion DetectionSoftware SecuritySecurity Operations
Soft Skills
Excellent Written CommunicationExcellent Verbal CommunicationTechnical MentorshipCollaboration
Tools & Technologies
AI/ML FrameworksSystems SoftwareSecurity ToolingLarge-Scale Data Systems
Industry Keywords
CybersecurityResearch ExcellencePrototypingOperational ScalabilityResearch Collaboration

Tech Stack

Tools & technologies
Cyber SecurityPython

About the role

Key responsibilities & impact
  • Define a high-impact research agenda and lead projects advancing AI models and agents for cybersecurity
  • Improve model and agent capabilities for security reasoning, code and system understanding, planning, tool use, memory, long-horizon investigation, and collaboration with human defenders
  • Advance architectures, data, training, post-training, and evaluation methods
  • Develop AI-powered capabilities for vulnerability discovery, secure development, threat detection, malware analysis, incident investigation, security validation, and automated defense
  • Build and evaluate prototypes in realistic environments
  • Measure detection quality, false positives, time to insight, analyst effectiveness, security risk, and operational scalability
  • Collaborate across AI, security, research, engineering, and product teams
  • Publish original research
  • Mentor researchers and interns
  • Translate research advances into deployed capabilities

Requirements

What you’ll need
  • A Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent experience
  • 5+ years of relevant experience
  • Established record of research excellence demonstrated through influential publications, open-source systems, patents, technology transfer, or substantial research collaborations
  • Deep expertise in one or more relevant areas such as agentic AI, model training, reasoning and tool use, machine learning for security, vulnerability research, program analysis, software security, intrusion detection, malware analysis, or security operations
  • Experience defining and leading ambiguous, multi-disciplinary research projects and providing technical mentorship
  • Strong experimental and prototyping skills
  • Python and relevant AI/ML frameworks, including experience training, adapting, or evaluating models or agents
  • Experience with systems software, security tooling, or large-scale data systems
  • Excellent written and verbal communication skills
  • Ability to work effectively with both AI researchers and security practitioners

Benefits

Comp & perks
  • Equity
  • Benefits 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score