Senior Research Scientist, AI for Cybersecurity

NVIDIA•Westford, MA

About The Position

NVIDIA is seeking a Senior Research Scientist to lead research advancing AI models and agents for cybersecurity and apply them to important security problems. The role focuses on improving capabilities including security reasoning, code and system understanding, planning, tool use, long-horizon investigation, and collaboration with human defenders. It also applies these capabilities to vulnerability discovery, secure development, threat and anomaly detection, malware and attack analysis, incident investigation, security validation, and automated defense. The scientist will advance models, agent architectures, data, training and post-training methods, and evaluations for cybersecurity, while addressing the needs of real security environments: high precision, robustness to adaptive adversaries, explainability, privacy, secure deployment, and effective human oversight. The position connects foundational AI and security research with practical tools and workflows that improve prevention, detection, investigation, and response. The researcher will help set research direction, influence future platforms, and translate foundational advances into practical capabilities with research, product, and engineering teams. The position also involves building and evaluating prototypes in realistic environments, publishing original research, mentoring researchers and interns, and helping translate research advances into deployed capabilities.

Requirements

Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent experience.
At least 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, multidisciplinary research projects and providing technical mentorship.
Strong experimental and prototyping skills.
Experience with Python and relevant AI/ML frameworks, including training, adapting, or evaluating models or agents.
Experience with systems software, security tooling, or large-scale data systems.
Excellent written and verbal communication skills and ability to work effectively with AI researchers and security practitioners.

Responsibilities

Define a high-impact research agenda and lead projects advancing AI models and agents for cybersecurity and applying them to important security problems.
Improve model and agent capabilities for security reasoning, code and system understanding, planning, tool use, memory, long-horizon investigation, and collaboration with human defenders through advances in architectures, data, training, post-training, and evaluation.
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, measuring 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 and mentor researchers and interns.
Help translate advances into deployed capabilities.