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Sr Staff Researcher (Advanced Wildfire)

Palo Alto Networks

Sr Staff Researcher (Advanced Wildfire)

Santa Clara, CA
Full Time
Paid
  • Responsibilities

    Job Description

    Your Career

    We are the WildFire Team in the Content Delivered Security Service (CDSS) organization. Our engineering and Security Research team is at the core of our products and deliver the best of security services in the cloud to prevent cyberattacks. We are constantly innovating and challenging the way we, and the whole industry, think about cybersecurity. Our engineers don't shy away from building products to solve problems no one has pursued before.

    As a member of the team, you will work with researchers on implementing different projects that detect and defend against various emerging threats. You will be a key person in transforming ideas into products which are part of the next generation security platform. The team is responsible for innovating new security techniques.

    Your Impact

    • Track and research emerging threats and malware families and innovate new ways to identify malicious behaviors
    • Participate/lead in the complete software development life cycle including requirement analysis, architectural design, development, testing, deployment and operation support
    • Write clean, testable, readable, scalable and maintainable Python/C code that scales and performs well for thousands of customers
    • Design and build cloud native scalable systems
    • Clearly communicate goals and desired outcomes to internal project teams
    • Collaborate with both internal and external stakeholders to continually improve the systems
  • Qualifications

    Qualifications

    Your Experience

    • 4+ years industry experience including but not limited to malware analysis & detection, reverse engineering
    • Proficiency in at least one of the programming languages - Python, Java, C, Golang
    • Experience with Docker, and cloud environments such as AWS, Azure, GCP and their technologies
    • Research experience with generative AI security (e.g., jailbreak, prompt injection) is a big plus
    • Experience with malware analysis on the MacOS/Linux/Android platform is a plus
    • Good knowledge of machine learning models and experience in AI and data driven approaches is a plus
    • Hands on and can-do attitude, willing to learn new technologies
    • Be comfortable working independently and efficiently
    • Excellent communication (written and verbal) and presentation skills
    • BS/MS/PhD in computer science/engineering, or equivalent experience or equivalent military experience required

    Additional Information

    The Team

    To stay ahead of the curve, it’s critical to know where the curve is, and how to anticipate the changes we’re facing. For the fastest growing cybersecurity company, the curve is the evolution of cyberattacks, and the products and services that dedicatedly address them. Our engineering team is at the core of our products – connected directly to the mission of preventing cyberattacks. They are constantly innovating – challenging the way we, and the industry, think about cybersecurity. These engineers aren’t shy about building products to tackle problems no one has pursued before. They 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/com-missioned 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.

    #LI-TD1

    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.