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System Integration Engineer

  • Mobileye
  • Jerusalem, Israel
  • ILS 360,000 – ILS 540,000

The Data Collection (DC) group provides data for all Mobileye technologies. The group manages a global fleet of experimental vehicles equipped with Mobileye sensors, from single-camera systems to advanced surround systems, as well as ground-truth systems such as LiDAR, radar, and INS.

With teams in Israel, the US, and Europe, the DC group supports research and development by delivering diverse, high-quality datasets.

You will join the Data Collection Engineers team, a versatile and dynamic team responsible for managing the vehicle's experimental systems, analyzing collected data, and delivering it for further insights.

What will your job look like?

  • Install, configure and bring up HW & SW of sensors and vehicle subsystems on operational platforms.

  • Develop automation and AI-based tools to streamline workflows, reduce manual work, and improve engineering productivity.

  • Troubleshoot complex system issues, lead Root Cause Analysis (RCA), and implement corrective actions to improve reliability, performance, and readiness.

  • Collaborate with multidisciplinary engineering teams throughout the development and validation lifecycle.

  • Lead field experiments to evaluate new hardware and sensor technologies and execute complex data collection scenarios.

All you need is:

  • B.Sc. in Mechanical Engineering, Electrical Engineering, or a related technical discipline.

  • 3+ years of experience in system or HW/SW integration.

  • Experience working with complex multidisciplinary systems.

  • Strong troubleshooting, debugging, and Root Cause Analysis (RCA) skills.

  • Experience using AI tools to improve workflows and productivity.

  • Fluent in English.

Nice to have:

  • Experience with automotive systems, in-vehicle integration environments, or vehicle signals.

  • Experience working with Linux systems.

  • Familiarity with cameras, radar, or LiDAR.

  • Hands-on experience with lab equipment and test environments.

  • Experience leading field experiments.

  • Experience with CAD systems, such as SolidWorks or similar tools.

Skills

  • Hardware-Software Integration
  • Sensor Integration
  • Root Cause Analysis
  • Automation Scripting
  • Troubleshooting
  • Data Collection Systems
  • Multidisciplinary collaboration

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