below marketmost similar roles pay hereabove market
This role pays more than
98%
of similar roles. Most pay
$167,500–$233,262
— the blue band above.
At the midpoint, this role pays about
$290k
versus about
$200k
for comparable roles.
Based on 240 similar postings.
Employer
About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has
1623 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 1110 roles with salary data.
JOB TITLE: Senior Research Scientist, AI for Cybersecurity
The Senior Research Scientist, AI for Cybersecurity leads research on advancing AI models and agents to solve critical security problems. This role involves improving capabilities such as security reasoning, code and system understanding, planning, tool use, and long-horizon investigation. You will develop AI-powered capabilities for vulnerability discovery, secure development, threat detection, malware analysis, incident investigation, security validation, and automated defense. The work requires advancing underlying architectures, data, training, post-training methods, and evaluations while ensuring high precision, robustness to adaptive adversaries, explainability, and privacy. You will use Python and relevant AI/ML frameworks to build and evaluate prototypes in realistic environments. This role connects foundational AI and security research with practical tools and workflows to improve prevention, detection, investigation, and response for human defenders.
What does a Research Scientist earn?
Median $216250 from 45 postings across 16 companies.
Define and lead a research agenda to advance AI models and agents for cybersecurity.
Improve model capabilities for security reasoning, code understanding, planning, and tool use.
Develop AI-powered tools for vulnerability discovery, threat detection, and malware analysis.
Advance model architectures, data, training, post-training methods, and evaluation frameworks.
Build and evaluate prototypes in realistic environments to measure detection quality and operational scalability.
Ensure AI capabilities are robust against adversarial manipulation, distribution shift, and noisy data.
Translate foundational AI research into practical tools and workflows for security prevention and response.
Mentor researchers and interns while publishing original research in the field.
What we're looking for
A Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent experience.
5+ years of relevant experience.
An established record of research excellence demonstrated through influential publications, open-source systems, patents, technology transfer, or substantial research collaborations.
Deep expertise in areas such as agentic AI, model training, reasoning, machine learning for security, vulnerability research, or malware analysis.
Experience defining and leading ambiguous, multi-disciplinary research projects and providing technical mentorship.
Strong experimental and prototyping skills using Python and relevant AI/ML frameworks.
Experience with systems software, security tooling, or large-scale data systems.
Excellent written and verbal communication skills to work with both AI researchers and security practitioners.
Generative AI
Formal Methods
Program Analysis
Computer Architecture
Compilers
C
C++
Python
Hardware Description Languages
Theorem Provers
Symbolic Reasoning
Dynamic Analysis
Hardware Security
Synthesis
AI for Code
AI Security
LLM
RAG
Python
Red Teaming
Prompt Injection
MITRE ATLAS
OWASP Top 10 for LLM Applications
Vulnerability Research
Penetration Testing
Agentic AI
Fine-tuning
Data Exfiltration
Anomaly Detection
Software Development Lifecycle
Large-scale Computing
Responsible AI
Python
PyTorch
TensorFlow
Deep Learning
Reinforcement Learning
LLMs
Probabilistic Modeling
Causal Inference
Multi-Agent Systems
Neuro-symbolic AI
Time-series Forecasting
Simulation-based Planning
Model Training
Data Science
Machine Learning