Principal Security Researcher (Wildfire)
@ Palo Alto Networks

Santa Clara, California, United States
On Site
Full-time
Posted 3 days ago

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Job Details

Company Description

At Palo Alto Networks, our mission is to be the cybersecurity partner of choice while protecting our digital way of life. We are built on innovation and disruptive ideas, fostering a collaborative environment emphasising inclusivity, learning, and wellbeing.

Your Career

As a Principal Security Researcher, you will join our pioneering security team to deconstruct complex threats and build next-generation detection systems. You will lead efforts in threat research, particularly focusing on malware reverse engineering and the integration of generative AI and agentic systems.

  • Lead end-to-end machine learning projects in threat detection.
  • Design and deploy security solutions using generative AI and LLMs.
  • Conduct in-depth malware reverse engineering and threat analysis.
  • Collaborate cross-functionally with teams in threat prevention and IoT security.
  • Publish research findings via blogs, white papers, and academic papers.

Qualifications

A BS/MS/PhD in Computer Science, Cybersecurity, or equivalent with 6+ years relevant experience. Proficiency in programming (e.g., Python, Go, C++), reverse engineering, and system security is required. Experience in machine learning projects and strong publication records are a plus.

Key skills/competency

Principal Security Researcher, cybersecurity, malware reverse engineering, generative AI, machine learning, threat detection, LLMs, automation, research publication, cross-functional collaboration

How to Get Hired at Palo Alto Networks

🎯 Tips for Getting Hired

  • Customize your resume: Align with cybersecurity and AI credentials.
  • Showcase relevant projects: Highlight machine learning and threat research.
  • Network on LinkedIn: Connect with Palo Alto Networks employees.
  • Prepare for technical questions: Focus on malware analysis and reverse engineering.

📝 Interview Preparation Advice

Technical Preparation

Review malware analysis techniques and reverse engineering.
Practice coding in Python, Go, or C++.
Study machine learning model development and deployment.
Familiarize with generative AI and LLM concepts.

Behavioral Questions

Describe a challenging project you led.
Explain teamwork in high-pressure environments.
Discuss adaptability in fast-changing roles.
Share conflict resolution strategies in team settings.

Frequently Asked Questions