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iOS Threat Detection Research Engineer

Pubblicato il 26-09-2026 - Zimperium in Milano

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.

Se è interessato/a a candidarsi per questo lavoro, la preghiamo di assicurarsi di soddisfare i seguenti requisiti, elencati di seguito.

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 t

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