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Salary
≈ $122k – $294k per year (Estimated)
Location
Hybrid (Petah Tikva, Israel)
Seniority
Architect · 7+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 11, 2026. First seen by Alion on Nov 26, 2025.

Overview
Company
Impact
Profile match
Mobileye is an Israeli company founded in Jerusalem in 1999 by the computer scientist Amnon Shashua and the entrepreneur Ziv Aviram, built on the then-contrarian idea that a single camera and clever software could handle driver assistance without radar or lidar. Its EyeQ system-on-chip has shipped in more than two hundred million vehicles, making it the dominant supplier of vision-based driver assistance to the global car industry. Acquired by Intel for fifteen billion dollars in 2017 and returned to public markets in 2022, the company now sells escalating tiers from basic assistance through the SuperVision and Chauffeur hands-off systems up to the fully driverless Mobileye Drive platform.

Mobileye’s Radar Team develops cutting-edge radar technology for autonomous driving (AV) and advanced driver-assistance systems (ADAS). We are looking for a Cyber Security Architect to lead the design and implementation of robust embedded security solutions that protect our radar systems from cyber threats.

In this role, you will define security architecture for radar hardware, embedded software, and communication interfaces, ensuring compliance with automotive cybersecurity standards and safeguarding Mobileye’s mission-critical sensing technology.

You’ll be part of a team shaping the future of autonomous driving. Our radar technology is a critical component in delivering safe, reliable, and intelligent mobility solutions. You’ll work on innovative projects in a collaborative environment, with the opportunity to influence security strategy at a global scale.

What will your job look like:

  • Security Architecture Design - Develop and maintain end-to-end security architecture for radar systems, including hardware, firmware, and software components.
  • Threat Modeling & Risk Assessment (TARA) - Perform Threat Analysis and Risk Assessment for radar components, software modules, and communication channels; identify vulnerabilities and design mitigation strategies.
  • Secure Communication - Implement encryption, authentication, and integrity checks for radar data transmission between hardware and software layers.
  • Secure Software Design - Define and enforce security controls for APIs, middleware, and integration points between radar systems and other vehicle subsystems.
  • Compliance & Standards - Ensure radar systems meet ISO 21434, UNECE WP.29, and other relevant automotive cybersecurity regulations.
  • Collaboration with R&D - Work closely with radar engineers, embedded software developers, and system architects to embed security into the design process.
  • Incident Response Support - Provide architectural guidance during security incidents involving radar systems.
  • Technology Evaluation - Assess and recommend security tools, frameworks, and methodologies for radar-specific applications.

All you need is:

  • B.Sc. or M.Sc. in Computer Science, Electrical Engineering, Cybersecurity, or related field.
  • 7+ years of experience in cybersecurity roles, with at least 3 years in architecture or senior design positions.
  • Proven experience securing embedded systems - hardware connections, software modules, and real-time communication protocols.
  • Strong background in system architecture - ability to design and analyze complex, multi-component systems and ensure security is integrated at every layer.
  • Strong knowledge of cryptography, secure boot, firmware integrity verification, and secure API design.
  • Excellent communication and documentation abilities.
  • Strong problem-solving mindset and ability to work in cross-disciplinary teams.

Nice to have:

  • Experience in radar system development or RF engineering.
  • Experience with automotive cybersecurity standards (ISO 21434, UNECE WP.29).
  • Understanding of CAN, Ethernet, and automotive communication protocols.
  • Knowledge of AI/ML security considerations.
  • Certifications such as CISSP, CCSP, or CEH.
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