Your Career
The WildFire Team part of the Cloud Delivered Security Service (CDSS) organization is dedicated to relentlessly innovating and delivering cutting-edge security services that automatically prevent cyberattacks. Our engineering and Security Research team forms the core of our products providing top-tier cloud security services to combat cyber threats. We challenge conventional thinking in cybersecurity empowering our teams to tackle and solve unprecedented problems.
As a Security Researcher on this team you will play a crucial role in developing automated defenses against emerging and sophisticated file-based threats and malware. Your expertise will be instrumental in translating deep threat knowledge into scalable productized detection capabilities.
Your Impact
Direct the in-depth analysis of emerging malware and sophisticated file-based threats from high-volume artifact data maintaining an authoritative understanding of the threat landscape actors and attack vectors.
Design and validate novel detection methods by leveraging data science techniques including statistical modeling and machine learning to automatically identify threats at scale.
Translate research prototypes into robust scalable and extensible detection and prevention systems. Participate in the full software lifecycle from architectural design through deployment.
Serve as the critical link between research and engineering transforming discoveries into impactful product features. Establish industry expertise through white papers and presentations.
Qualifications :
Your Experience
8 years of hands-on experience in malware analysis & detection (static and dynamic) threat research and reverse engineering on common file formats (PE ELF PDF Office Scripts etc).
Experience developing high-performance scalable tools or systems for automated analysis and threat detection.
Proficiency in at least one of the programming languages: Python Golang C.
Creative thinker and team player. Have great passion and be highly self-motivated in data-driven security research.
Excellent communication (written and verbal) and presentation skills;
Experience with public cloud development e.g. GCP AWS Azure is a plus
Knowledge of AI/ML and experience in data driven approaches is a plus.
Hands on and can-do attitude willing to learn new technologies.
Be comfortable working independently and efficiently.
BS/MS in Computer Science or related fields with security research experience; PhD in cybersecurity 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 dont 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 $188000/YR - $303050/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
Were problem solvers that take risks and challenge cybersecuritys status quo. Its simple: we cant 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 .
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.
Remote Work :
No
Employment Type :
Full-time
Our enterprise security platform detects and prevents known and unknown threats while safely enabling an increasingly complex and rapidly growing number of applications. Come be part of the team that redefined the firewall industry and is now the fastest-growing security company in hi ... View more