Job Description

Your Career

We are seeking an exceptionally skilled security researcher to join our pioneering security team. This role is for a technical expert passionate about deconstructing complex threats and building the next generation of intelligent defense systems. You will be responsible for leading our efforts in threat research, which demands a deep background in malware reverse engineering. You will also spearhead the design and implementation of innovative security solutions using generative AI, large language models (LLMs), and agentic systems to automate and scale our detection and response capabilities, keeping us ahead of sophisticated adversaries.

Your Impact

• Deep Malware Reverse Engineering: Perform in-depth static and dynamic analysis of malicious code by reverse engineering complex binaries (x86/x64, ARM, etc.). Uncover novel malware techniques, extract indicators of compromise (IOCs), and develop robust signatures and behavioral detections.

• AI-Driven Detection & Automation: Design, build, and deploy innovative security solutions leveraging Generative AI and agentic systems. Develop intelligent agents and workflows to automate threat hunting, accelerate malware analysis, and streamline incident response processes.

• Research & Publication: Disseminate cutting-edge research findings and contribute to the security community by publishing results in technical blogs, industry white papers, and academic papers, particularly on topics related to malware analysis and AI in security.

• Collaboration & Communication: Work closely with cross-functional teams, including security researchers, engineers and product teams, to integrate your findings in reversing to product PoC and threat research.

Qualifications

Your Experience

• BS/MS/PhD degree in Computer Science, Cybersecurity, or a related field, or equivalent practical experience.

• 4+ years of experience in a technical security role, with a strong emphasis on malware analysis, exploit development, or threat research.

• Extensive, hands-on experience in reverse engineering using tools like IDA Pro, Ghidra, x64dbg, etc.

• Proficiency in one or more programming languages (e.g., Python, Go, C++).

• Proven experience applying Generative AI, Large Language Models (LLMs), and modern machine learning techniques to solve complex security problem is a plus

• A proven track of top tier publications in cybersecurity related areas is a plus.

Additional Information

The Team

Our engineering team is at the core of our products – connected directly to the mission of preventing cyberattacks. We are constantly innovating – challenging the way we, and the industry, think about cybersecurity. Our engineers don’t shy away from building products to solve problems no one has pursued before. We define the industry, instead of waiting for directions. We need individuals who feel comfortable in ambiguity, excited by the prospect of a challenge, and empowered by the unknown risks facing our everyday lives that are only enabled by a secure digital environment.

Compensation Disclosure

The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $136000 - $219000/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here.

Our Commitment

We’re problem solvers that take risks and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together.

We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at accommodations@paloaltonetworks.com.

Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will 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 your information will be kept confidential according to EEO guidelines.