Research Scientist, AI and Systems Security

NVIDIA

. Advance the security, safety, and privacy of AI models and systems across the full lifecycle, including data collection, training, model and agent behavior, inference, deployment, and platform operations .

Posted 11/7/2026full-timeUnited StatesMid-LevelSenior💰 $168,000 - $264,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates deep expertise in AI security, vulnerability discovery, and secure system design, with strong programming skills in C, C++, and Python. Proven ability to translate research into practical applications while collaborating effectively across multidisciplinary teams.

Highest-signal resume keywords

Ph.D. In Computer ScienceAI Security ExpertiseProgramming Skills In C, C++, PythonResearch Excellence Through PublicationsExperimental Research And Prototyping Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Techniques For Vulnerability DiscoverySecure Code GenerationThreat DetectionIncident AnalysisSecurity ValidationAutomated DefenseFormal MethodsProgramming LanguagesComputer ArchitectureSoftware Systems

Soft Skills

Clear Written CommunicationClear Verbal CommunicationCreative Research ApproachCollaborative Research ApproachSelf-Directed Research Approach

Tools & Technologies

Machine-Learning FrameworksCompilersSystem SoftwareHardware ArchitecturesRuntimesAI ModelsAI-Enabled Design

Industry Keywords

AI/MLSecurityPrivacyPerformanceEfficiency TradeoffsTechnology TransferOpen-Source SystemsResearch CollaborationsThreat ModelsMeaningful Evaluations

Tech Stack

Tools & technologies

Cyber SecurityPythonC++

About the role

Key responsibilities & impact

Advance the security, safety, and privacy of AI models and systems across the full lifecycle, including data collection, training, model and agent behavior, inference, deployment, and platform operations
Develop AI-enabled methods to design, analyze, implement, and verify computer systems, including hardware architectures, system software, runtimes, compilers, and applications
Rigorously evaluate security, safety, privacy, performance, and efficiency tradeoffs
Develop AI techniques for vulnerability discovery, secure code generation and review, threat detection, incident analysis, security validation, and automated defense
Collaborate across hardware, software, research, and product teams
Publish original research
Translate research advances into practical systems and developer capabilities

Requirements

What you’ll need

A Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, or a related field
Strong research background in security, AI/ML, computer architecture, operating systems, formal methods, programming languages and compilers, software systems, or other related areas
Record of research excellence demonstrated through publications, open-source systems, patents, technology transfer, or substantial research collaborations
Deep expertise in at least one of the three research areas: security of AI models and systems; AI-enabled design and verification of secure computer systems; or AI for cybersecurity
Ability to connect research depth to challenges across the hardware/software stack
Strong experimental research and prototyping skills
Ability to build systems, define threat models, design meaningful evaluations, and analyze security and performance tradeoffs
Strong programming skills in C, C++, Python, and/or relevant systems and machine-learning frameworks
Clear written and verbal communication skills
Creative, collaborative, and self-directed research approach

Benefits

Comp & perks

Highly competitive salaries
Comprehensive benefits package
Equity