Detection Researcher/Security Engineer (iOS Focused)

Zimperium; France; Sur place; Confidentiel; Plein temps

Résumé du poste

Zimperium is seeking a highly skilled security engineer with deep expertise in mobile threat detection and iOS internals. You will conduct forensics analysis of potentially compromised devices and help research, develop, and improve detection capabilities against advanced mobile threats.

The role focuses on analyzing iOS backups and sysdiagnose data, building tooling, and publishing findings. Strong coding in C, Python, Objective-C and Swift is essential, along with a mindset that blends

Qualifications

• Strong knowledge of iOS internals and ability to use OS data to detect compromise.
• Proven data analysis methods for forensics investigations.
• Experience with reverse engineering tools and scripting.

Responsabilités

• Design and implement new detection techniques for iOS using forensics data.
• Lead brainstorming sessions to generate detection ideas.
• Analyze iOS internals to improve runtime and offline detection.
• Develop and maintain internal tooling to accelerate analysis and detection.
• Review forensic data from customers and provide actionable guidance.
• Publish technical blogs on emerging security risks.

Connaissances

iOS internals

Forensics data analysis

Reverse engineering

C programming

Python

Objective-C

Swift

Team collaboration

Security research

XPC/mach/iokit basics

Outils

IDA Pro

Ghidra

Hopper

Description du poste

Zimperium® is the world leader in mobile security, purpose-built to protect the modern mobile enterprise. Trusted by leading organizations and governments, our AI-driven platform delivers real-time, on-device protection for mobile applications and devices. We help organizations stay ahead with proactive defense against evolving threats—including mobile-targeted phishing (mishing), malware, app vulnerabilities, and zero-day exploits. Our mission is to empower organizations to operate securely and confidently in today’s dynamic digital environment.

We are seeking a highly skilled and inquisitive security engineer with deep technical expertise in mobile threat detection and operating system internals. This role focuses on conducting forensics analysis of potentially compromised devices to research, develop, and improve our detection capabilities against advanced mobile threats. Experience in analyzing data from iOS backups and diagnose is at the core of the role. The ideal candidate combines strong technical depth with an open and adaptive research mindset, maintaining versatility across diverse security challenges. A strong ability to code for the iOS environment, alongside conducting and reviewing high-quality technical work, is essential for success in this position.

Location: Europe

Key Responsibilities

• Design, prototype, and implement new detection techniques and algorithms for the iOS platform based on forensics data coming both from the runtime environment and the offline iOS sysdiagnose and backup files.
• Lead and participate in structured brainstorming sessions to generate novel detection ideas against advanced mobile threats.
• Analyze, document and make use of iOS internals features in an attempt to improve the runtime and offline detection capabilities.
• Develop, maintain, and improve internal tooling and automation to accelerate analysis, triage, and detection development.
• Review and interpret forensic data provided by customers, produce clear technical reports, and provide actionable guidance and remediation support.
• Write and publish technical blog posts to raise awareness of emerging security risks and share insights with customers and the wider security community.

Required Skills & Experience

• Proven ability to collaborate effectively within a team environment, including forming and leading focused sub-groups to deliver specific project features or research objectives.
• Strong knowledge of iOS operating system internals (e.g., diagnose, encrypted backup, daemons/services, sandboxing, code-signing), with a particular focus on the capability to use the data provided by the operating system to detect a compromised device.
• Good previous experience in data analysis methods applied to forensics investigations.
• Proficiency in reverse engineering using tools such as IDA Pro, Ghidra, Hopper, or equivalent, including experience writing scripts, leveraging their SDKs, and isolating and reporting technical issues.
• Demonstrated ability to think both offensively and defensively, approaching analysis tasks with the mindset of both an attacker and a defender.
• Solid programming experience in C, Python, Objective-C and Swift, with the ability to produce efficient, maintainable, and secure code.
• Capability to reverse engineer proprietary protocols and interprocess communication mechanisms (e.g., XPC, mach messages, IOKit) is considered a plus.
• Practical knowledge of jailbreak methods and iOS exploit classes (e.g., kernel exploits, sandbox escapes, code-signing bypasses), ideally experience in analyzing such exploits or exploit chains is a big plus.

Zimperium is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex including sexual orientation and gender identity, national origin, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.