Sr Staff Malware Researcher (Reverse Engineering - Malware and Countermeasu at Palo Alto Networks

Santa Clara, California, United States -

Full Time

Start Date

Immediate

Expiry Date

06 Feb, 26

Salary

225750.0

Posted On

08 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, C, C++, Malware Analysis, Reverse Engineering, Debuggers, Disassemblers, Automation, Mobile Malware, Document Malware, IDA Pro, Binary Ninja, Windbg, Gdb, Ollydbg

Industry

Computer and Network Security

Description

Company Description Our Mission At Palo Alto Networks® everything starts and ends with our mission: Being the cybersecurity partner of choice, protecting our digital way of life. Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we’re looking for innovators who are as committed to shaping the future of cybersecurity as we are. Who We Are 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 Description Your Career 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 Collaboration 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 Your Experience Proficiency in Python, C, and/or C++ Experience in malware analysis and reverse engineering in x86/x64 Experience with debuggers such as windbg, gdb, ollydbg Familiar with disassemblers such as IDA Pro or Binary Ninja Development experience with malware analysis automation, such as IDA plugins, sandboxing, triage tools, etc... Experience with mobile malware a plus Experience with various classes of document malware also a plus BS/MS in Computer Science or Computer Engineering Additional Information The Team Our engineering team is at the core of our products and 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 $139,600 - $225,750/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 [email protected]. 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.

Responsibilities

You will reverse engineer malware using static and dynamic methods while collaborating with the Threat Intelligence team to develop detection coverage for new threats. Additionally, you will implement automated malware analysis tools and prototype novel detection techniques.