Drimva

Palo Alto Networks

Principal Security Researcher (AI-Assisted Vulnerability Research)

$172K–$278K

Santa Clara, United States of America · No · Principal · Full-time · Posted Sep 15, 2026

Experience
7+ years in vulnerability research, offensive security research, reverse engineering, fuzzing, exploit development, program analysis, security automation, or a closely related security research role.
Education
Master's degree in Computer Science, Cybersecurity, or a related technical field, or equivalent practical experience.
Visa sponsorship
Immigration sponsorship: Yes

About the job

Designs and builds AI-assisted security research systems to discover, validate, analyze, and report high-impact vulnerabilities in real-world and open-source software.

What you'll do

  • Build and improve reproducible AI/security harnesses, evaluation pipelines, and research infrastructure for vulnerability discovery and validation.
  • Conduct vulnerability research, including fuzzing, reverse engineering, root-cause analysis, exploitability assessment, patch analysis, and proof-of-concept validation.
  • Analyze research outputs and produce validated findings, technical reports, benchmarks, tools, disclosures, or other security artifacts.

What they ask for

  • Master's degree in Computer Science, Cybersecurity, or a related technical field, or equivalent practical experience.
  • 7+ years of experience in vulnerability research or a closely related security research role.
  • Demonstrated ability to independently drive a technical research project from problem formulation through implementation, evaluation, and written results.
  • Strong programming skills and demonstrated security research or technical output.

Nice to have

  • PhD in a related field, or equivalent demonstrated research experience.
  • Experience building AI agent, fuzzing, evaluation, or vulnerability-validation harnesses and workflows.

Pay

$172,100.00 - $278,300.00/yr USD base salary

Tools

LLMs, AI agents, fuzzing, static analysis, dynamic analysis, program analysis, reverse engineering, security automation

AI focus

Uses LLMs and AI agents to build and improve vulnerability-research workflows, including discovery, validation, evaluation, and reporting.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 6, 2026 (UTC)