Role :

We are looking for a Staff Threat Researcher to join our team. This is a Hybrid role, reporting to the Senior Manager, Threat Research in the Threatlabz department. As a key contributor to our threat research initiatives, you will lead the charge in identifying vulnerabilities and analyzing sophisticated malware within the Apple ecosystem. Your expertise in macOS and iOS system internals will drive the development of advanced detection strategies and strengthen our overall product defenses.

What youll do (Role Expectations) :

- Perform static and dynamic analysis of macOS and iOS applications, firmware, and system internals to identify vulnerabilities and malicious functionality.

- Reverse-engineer malware samples to decipher behavior, capabilities, and attack vectors while contributing to prevention strategies.

- Research and maintain deep expertise in macOS security features, XNU kernel updates, and frameworks such as Endpoint Security and Network Extensions.

- Develop custom tools and scripts to automate reverse engineering, binary analysis, and malware-related processing tasks.

- Partner with engineering, QA, and threat intelligence teams to integrate new security features and harden product defenses.

Who You Are (Success Profile) :

- You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.

- You act like an owner, leveraging dynamic range to navigate seamlessly between high-level strategy and hands-on execution while operating with unyielding integrity.

- You are a tenacious problem-solver who runs toward challenges, knowing that finding solutions to hard problems delivers the biggest impact.

- You are a high-trust collaborator who embraces our challenge culture by giving and receiving candid, respectful feedback to earn trust and elevate the entire team.

- You possess a true growth mindset, actively seeking feedback to continuously develop yourself, become a stronger teammate, and drive your work with purpose.

What Were Looking for (Minimum Qualifications) :

- Demonstrated curiosity and active exploration of AI tools, with a proven history of integrating new technologies to enhance daily workflows and augment problem-solving.

- Proficiency in system-level languages including C, C++, Objective-C, Swift and deep knowledge of macOS architecture, Mach-O binary formats, and security mechanisms like SIP, TCC, and Gatekeeper.

- Extensive hands-on experience with reverse engineering tools such as IDA Pro, Ghidra, Binary Ninja, Frida, and Wireshark.

- Strong scripting skills, particularly in Python, for automating complex analysis and research tasks.

- Proven ability to decompile, disassemble, and de-obfuscate closed-source binaries to reconstruct logic without source code access.

What Will Make You Stand Out (Preferred Qualifications) :

- Experience with Windows or Linux platforms for comparative threat analysis.

- Prior professional track record in specialized malware analysis or vulnerability research.

- Thorough understanding of network protocols and system-level communication mechanisms.