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Sr Staff Security Researcher

Palo Alto Networks

Santa Clara, California, United StatesOn Site

Original Job Summary

Company Overview

At Palo Alto Networks®, our mission is to be the cybersecurity partner of choice, protecting the digital way of life. We challenge the status quo through disruptive innovation, collaboration, and execution.

Your Career

As a Sr Staff Security Researcher, you will join our pioneering security team as a technical expert. Your role focuses on deconstructing complex threats and building next-generation detection systems, with an emphasis on malware reverse engineering and innovative AI-driven solutions.

Your Impact

  • Lead AI-driven threat detection and automation projects.
  • Design and deploy innovative security solutions using generative AI and agentic systems.
  • Conduct deep malware reverse engineering and threat research.
  • Publish cutting-edge research in technical blogs, white papers, and academic venues.
  • Collaborate with cross-functional teams in the cybersecurity domain.

Qualifications

Bachelor’s, Master’s, or PhD in Computer Science, Cybersecurity, or equivalent. At least 4 years of experience leading machine learning projects and deep expertise in programming (Python, Go, C++), reverse engineering, and threat research is required.

Key skills/competency

  • Cybersecurity
  • Threat Detection
  • Malware Analysis
  • Reverse Engineering
  • Machine Learning
  • Generative AI
  • Programming
  • Automation
  • Collaboration
  • Research Publication

How to Get Hired at Palo Alto Networks

🎯 Tips for Getting Hired

  • Research Palo Alto Networks' culture: Study mission, values, and recent projects.
  • Customize your resume: Highlight cybersecurity and AI experience.
  • Showcase technical expertise: Emphasize programming and reverse engineering skills.
  • Prepare for interviews: Review threat detection and machine learning topics.

📝 Interview Preparation Advice

Technical Preparation

Review malware reverse engineering techniques.
Study generative AI model frameworks.
Practice Python, Go, and C++ coding.
Prepare threat detection and ML pipelines.

Behavioral Questions

Describe teamwork in high-pressure situations.
Explain problem-solving in technical challenges.
Share experience managing project ambiguity.
Discuss collaboration with cross-functional teams.