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About the Role

This role involves building and delivering threat detection capabilities for Advanced Threat Prevention by decoding network protocols and identifying applications. The individual will shape detection methodologies, drive parallel projects, influence detection strategy at scale, propose innovative ideas, deliver them into production, and mentor researchers to protect enterprises worldwide from advanced threats.

Responsibilities

Lead the design and delivery of multiple major projects, proposing innovative detection ideas.
Mentor and guide junior or mid-level researchers with technical direction and career development.
Drive advanced research into vulnerabilities and exploits to create effective IPS and ML-based detections.
Ensure rapid response to Zero-Day vulnerabilities by releasing IPS protections to customers within 24 hours.
Perform reverse engineering to uncover new vulnerabilities and build proactive defenses.
Define scalable detection methodologies for complex or emerging attack vectors across products.
Partner with cross-functional teams to align detection strategy with product roadmaps and customer needs.
Represent the team in technical discussions to shape industry direction in threat prevention.

Requirements

10+ years of deep technical experience in malware analysis (static/dynamic) and reverse engineering.
BS/MS in Computer Science, Computer Engineering, or related field, or equivalent experience.
Deep technical expertise in exploit techniques such as buffer overflows, XSS, and SQL injection.
Extensive knowledge of core network protocols including HTTP, UDP, FTP, SMTP, DNS, and SMB.
Proficiency in analyzing network traffic using tcpdump, Wireshark, or equivalent tools.
Advanced proficiency in Windows and Linux development environments.
Strong programming skills in scripting and system-level languages including Python, Bash, Perl, and C/C++.
Strong leadership and communication skills with proven ability to mentor and guide other researchers.
Demonstrated track record of successfully leading multiple projects end-to-end with measurable impact.
Ability to influence detection strategy within the team and across related groups.
Experience building or fine-tuning AI agents to autonomously triage alerts, summarize malware behavior, or generate detection content via LLMs (Preferred).
Hands-on experience with penetration testing tools like Metasploit and debugging tools like WinDbg (Preferred).
PhD in Cybersecurity or a related field (Preferred).
Publications or presentations at top security conferences such as Black Hat or DEF CON (Preferred).

Skills

Malware analysis (static/dynamic)
Reverse engineering
Exploit techniques (buffer overflows, XSS, SQL injection)
Core network protocols (HTTP, UDP, FTP, SMTP, DNS, SMB)
Network traffic analysis (tcpdump, Wireshark)
Windows development
Linux development
Python
Bash
Perl
C/C++
Leadership
Communication
Project leadership
Detection strategy influence
AI agent development/fine-tuning
Penetration testing (Metasploit)
Debugging (WinDbg)

Work Type

Full-time
Onsite

Experience Level

10+ years of deep technical experience

Education Level

BS/MS in Computer Science, Computer Engineering, or related field
Equivalent experience
PhD in Cybersecurity or a related field (Preferred)

Salary/Compensations

$162,700.00 - $263,175.00/yr

About the Company

Palo Alto Networks' mission is to protect our digital way of life.
The company thrives at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking.
Company values include Disruption, Collaboration, Execution, Integrity, and Inclusion.
AI is woven into the fabric of everything the company does to augment individual impact.
The engineering team is at the core of products, connected to the mission of preventing cyberattacks, and constantly innovating.
Engineers build products to solve unprecedented problems and define industry direction.

Equal Opportunity

Committed to providing reasonable accommodations for all qualified individuals with a disability.
Palo Alto Networks is an equal opportunity employer.
Celebrates diversity in the workplace.
All qualified applicants receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics.
All information will be kept confidential according to EEO guidelines.