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Palo Alto Networks Logo Palo Alto Networks · IT - Software Development

Sr. Staff Security Researcher

United States, Santa Clara 139600.00 - 225775.00 USD / Year · Job Posted May 29, 2026
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Job Description

We are seeking a passionate and self-driven Sr. Staff Researcher to join our Cloud-Delivered Security Services team. In this role, you will be pivotal in developing and refining the security content that powers our next-generation products. You will build and optimize automation systems to process real-time data, collaborate with experienced researchers to analyze emerging threats, and contribute directly to the detection and prevention of malware and other digital threats.

Job Responsibility

  • Design, build, and optimize automation systems for real-time data collection and processing to support threat detection
  • Apply advanced AI/ML methods, including anomaly detection and deep learning, to analyze real network traffic for threat detection and mitigation
  • Conduct in-depth research on network security countermeasures to identify and mitigate sophisticated cyber attacks
  • Proactively collaborate with fellow security researchers to analyze adversarial activities and implement robust, proactive protections
  • Continuously learn and apply knowledge of next-generation firewalls and their role in modern network security
  • Translate threat research findings into tangible security solutions and protections within our product ecosystem

Requirements

  • PhD with 3-5 years of experience
  • Basic understanding of malware types (e.g., Spyware, Ransomware, Exploits) and popular vulnerabilities (e.g., command injection, buffer overflow)
  • Strong familiarity with key network protocols such as HTTP, SMTP, and FTP
  • Proficiency in at least one programming language, such as Python or Go

Nice to have

  • Experience with ML/GenAI techniques (e.g., anomaly detection, deep learning, NLP) and tools (e.g., TensorFlow, PyTorch, Scikit-Learn)
  • Practical exposure to malware analysis and Capture-the-Flag (CTF) exercises
  • Hands-on experience with traffic analysis tools (e.g., Wireshark, tcpdump) and reverse engineering tools
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