Operations Control Center Operator - Student Position
About this role
The Mobileye Operations Control Center (OCC) needs more amazing operators!
Our state-of-the-art control center is located at Mobileye’s Jerusalem campus in Har Hotzvim, and is used to monitor all security and safety systems in all of Mobileye’s campuses.
This 24/7 control center is the central security monitoring and service center for all Mobileye locations across the globe.
\nWhat will your job look like:- Using digital systems to monitor and control security & safety systems: CCTV, Intrusion detection, Fire alarm systems, Elevators, and more…
- Track CCTV displays on wall to wall security monitors, and access control systems
- Incident response and notification to relevant teams
- Company incident and ticket system management. Including opening and directing tickets to the correct teams and tracking through closure.
- Answer internal and external service calls
- Cooperative work with operations teams and support them in various general tasks
- Available for shift work 24/7, including night shifts, weekends and holidays
- Minimum 3 shifts per week
- Experience in a digital work environment
- Prior work in an operations or military/security command center – An advantage
- Practiced in multitasking and working under pressure
- Ability to express yourself in both Hebrew and English
- Strong work ethic and sense of personal responsibility
- Service oriented and strong interpersonal skills
- Completed military or national service
Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!
Company at a glance
Mobileye pioneers physical AI for intelligent systems including advanced ADAS, autonomous driving solutions, and humanoid robotics.
Mobileye’s physical AI foundation reflects decades of experience in real-world driving intelligence, applying the same engineering principles that shaped its automotive AI leadership to AI for humanoid robotics in complex physical environments.
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