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NVIDIA

Senior Research Scientist, AI-Enabled Secure Systems

NVIDIA

. Define a high-impact research agenda and lead projects in AI-enabled secure system design, implementation, analysis, and verification .

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-enabled secure system design, formal methods, program analysis, and security verification, with a strong ability to lead multi-disciplinary research projects and mentor teams. Proven track record of translating research into practical applications and publishing influential work.

Highest-signal resume keywords
Ph.D. In Computer Science6+ Years Of Relevant ExperienceDeep Expertise In Formal MethodsStrong Implementation Skills In C, C++, PythonExperience In Leading Research Projects

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
AI-Enabled Secure System DesignFormal VerificationProgram AnalysisThreat ModelingSecure Code GenerationAutomated ReasoningSynthesisArchitecture ExplorationStatic And Dynamic AnalysisProof Construction
Soft Skills
Excellent Written CommunicationExcellent Verbal CommunicationCreative ResearcherCollaborative Team PlayerSelf-Directed
Tools & Technologies
Theorem ProversAnalysis FrameworksAI/ML ToolingHardware Description Languages
Industry Keywords
Computer ArchitectureSoftware SecurityHardware SecurityProgramming LanguagesInfluential PublicationsOpen-Source SystemsTechnology Transfer

Tech Stack

Tools & technologies
PythonC++

About the role

Key responsibilities & impact
  • Define a high-impact research agenda and lead projects in AI-enabled secure system design, implementation, analysis, and verification
  • Develop models, agents, and tools for security requirements and specification, threat modeling, architecture exploration, secure code and hardware generation, program analysis, synthesis, and proof construction
  • Combine AI techniques with static and dynamic analysis, formal verification, symbolic reasoning, testing, and domain-specific security knowledge to produce reliable and machine-checkable results
  • Build end-to-end prototypes and evaluate them on realistic hardware and software systems, measuring security, correctness, scalability, performance, and human productivity
  • Collaborate across hardware, software, AI, research, and product teams
  • Publish original research
  • Mentor researchers and interns
  • Translate advances into practical developer and design capabilities

Requirements

What you’ll need
  • Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent research experience
  • 6+ 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 formal methods, program analysis, programming languages, software or hardware security, computer architecture, compilers, AI for code, or automated reasoning and synthesis
  • Experience defining and leading ambiguous, multi-disciplinary research projects and providing technical mentorship
  • Strong implementation and experimental skills in C, C++, Python, hardware description languages, theorem provers, analysis frameworks, or relevant AI/ML tooling
  • Excellent written and verbal communication skills
  • Ability to connect foundational research with real engineering and product needs
  • Creative, collaborative, and self-directed researcher

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