below marketmost similar roles pay hereabove market
This role pays more than
98%
of similar roles. Most pay
$161,437–$227,817
— the blue band above.
At the midpoint, this role pays about
$290k
versus about
$195k
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
1626 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 1115 roles with salary data.
JOB TITLE: Senior Research Scientist, AI-Enabled Secure Systems
As a Senior Research Scientist, you will lead a research agenda focused on using AI to design, analyze, implement, and verify secure computer systems. You will work across hardware architectures, firmware, operating systems, runtimes, compilers, libraries, and applications to ensure security is a verifiable property from the outset. Your daily work involves developing models, agents, and tools for threat modeling, architecture exploration, secure code generation, and proof construction. You will combine generative AI and agents with program analysis, formal methods, synthesis, and symbolic reasoning. Required skills include expertise in computer architecture, compilers, or automated reasoning, alongside proficiency in C, C++, Python, hardware description languages, and theorem provers. You will produce trustworthy hardware and software artifacts by translating foundational research into practical engineering capabilities.
What does a Research Scientist earn?
Median $216250 from 46 postings across 16 companies.
Define and lead a high-impact research agenda for AI-enabled secure system design and verification.
Develop AI models, agents, and tools for threat modeling, architecture exploration, and secure code generation.
Combine AI techniques with formal verification, symbolic reasoning, and static/dynamic analysis to produce machine-checkable results.
Build end-to-end prototypes and evaluate them on realistic hardware and software systems for security and performance.
Translate foundational research advances into practical developer and design capabilities for product teams.
Publish original research and mentor junior researchers and interns.
Create techniques to help engineers express security requirements and construct formal proofs for hardware and software artifacts.
What we're looking for
A Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent research experience.
6+ years of relevant experience with an established record of research excellence through publications, patents, or technology transfer.
Deep expertise in formal methods, program analysis, programming languages, software or hardware security, computer architecture, compilers, AI for code, or automated reasoning.
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 AI/ML tooling.
Excellent written and verbal communication skills to connect foundational research with engineering and product needs.
AI
Machine Learning
Python
Agentic AI
Model Training
Post-training
Vulnerability Research
Malware Analysis
Program Analysis
Software Security
Intrusion Detection
Large-scale Data Systems
Systems Software
Security Tooling
Accelerated Computing
Machine Learning
Adversarial ML
LLM
Agentic ML
Security Engineering
Systems Security
Platform Engineering
Adversarial Testing
Production ML
ML Security Research