System Integration Engineer

Hybrid
Companymobileye.com
LocationJerusalem, Israel
CategorySoftware Engineering
DepartmentIntegration Engineering
Seniority-
WorkplaceHybrid
Posted2026-09-09
Estimated salary₪30K–37K (a market estimate, not the employer's figure)
Vialever

Description

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

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

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

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

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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.