Senior Security Researcher at Palo Alto Networks – Santa Clara | Jobyssey

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 Senior Security Researcher, you will be at the forefront of cyber defense, focusing on vulnerability research, reverse engineering, and exploit development. You will leverage cutting-edge AI models to create agentic defenders and autonomous systems for vulnerability discovery, validation, and remediation. Your work will involve deep-dive analysis in areas like Web Security, OS & Kernel Security, Software Supply Chain Security, OT/IoT security, participation in bug bounties, and contributing to the global security community through CVEs and research.

Key Responsibilities

Conduct advanced vulnerability research, reverse engineering, fuzzing, root-cause analysis, and exploit development across various platforms.
Leverage Large Language Models (LLMs) and advanced ML techniques to automate and scale bug hunting across diverse domains, including Web, OS & Kernel, Software Supply Chain, OT/IoT, and Browser Security.
Use AI agents to accelerate PoC generation, exploitability analysis, and finding validation, with an emphasis on reducing false positives.
Design and deploy AI-guided fuzzers, smart static/dynamic analysis tools, and autonomous agentic workflows specifically built for vulnerability research.
Develop and utilize agent harnesses for vulnerability discovery, PoC validation, patch validation, and defensive security research workflows.
Publish research, document findings, and contribute to the responsible disclosure of vulnerabilities (CVEs).

Qualifications

Required Qualifications

Bachelor's degree in Computer Science, Cybersecurity, or a related technical field, or equivalent practical experience.
3+ years of experience in offensive security, vulnerability research, or a similar role.
Demonstrated experience in one or more of reverse engineering, fuzzing, exploit development, or vulnerability root-cause analysis.
Familiarity with penetration testing tools and methodologies, with emphasis on vulnerability discovery, exploitability assessment, and validation.
Strong knowledge of modern operating systems, network protocols, and application security.

Preferred Qualifications

Master's degree or PhD in a relevant field.
Experience applying AI/ML models (LLMs, Reinforcement Learning) to cybersecurity challenges.
Knowledge of security in one or several of the following areas: Operational Technology (OT) or Internet of Things (IoT) systems, Web Security, OS & Kernel Security, Software Supply Chain Security, Browser Security.
A public track record of security research, such as conference presentations, publications, or CVEs.
Experience with model training, post-training, or evaluation techniques such as Supervised Fine-Tuning (SFT), Reinforcement Learning, RLHF, or security-focused benchmark design.
Experience building AI agent harnesses, fuzzing harnesses, evaluation harnesses, or vulnerability validation workflows is a plus.

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 the annual range listed below. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here.

$139,600.00 - $225,775.00/yr

Our Commitment

We’re trailblazers that dream big, 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.

Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position.

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