Principal Malware Reverse Engineer

Define what’s next in cybersecurity.

Our Mission

At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you’re ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you’re in the right place.

Who We Are

In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us!

We believe collaboration thrives in person. That’s why most of our teams work from the office full time, with flexibility when it’s needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes.

Job Summary

As a member of the Malware and Countermeasures Unit (MCU), you will be working closely with a globally distributed team of a dozen reverse engineers. Your time will be divided between picking apart various classes of malware and side projects to improve our team workflows and company products.

Your Impact

• Reverse engineer malware via static and dynamic methods
• Collaborate with our Threat Intelligence team to analyze and develop detection coverage for the latest threats
• Implement automated malware analysis tools
• Research and prototype novel automated malware detection techniques
• Communicate with product engineering teams to improve detection efficacy in our ecosystem of products

Qualifications

• Proficiency in Python
• Malware analysis
• Experience with disassemblers such as IDA Pro, Ghidra, or Binary Ninja
• Experience with debuggers such as WinDbg, GDB, OllyDbg, or x64dbg
• BS/MS in Computer Science or Computer Engineering

Nice to haves

• C and/or C++
• Development experience in malware analysis, malware detection, or sandboxing
• BS/MS/Ph.D in Computer Science or Computer Engineering with 2+ years of experience