System Integration Engineer
Summary
System Integration Engineer joining Mobileye's Data Collection group in Jerusalem: installs and configures sensor hardware/software on experimental vehicles, builds automation and AI-based tools, leads root-cause analysis and field experiments. Core stack spans HW/SW integration, automotive sensors (camera, radar, LiDAR), Linux, and AI tooling.
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:
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B.Sc. in Mechanical Engineering, Electrical Engineering, or a related technical discipline.
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3+ years of experience in system or HW/SW integration.
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Experience working with complex multidisciplinary systems.
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Strong troubleshooting, debugging, and Root Cause Analysis (RCA) skills.
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Experience using AI tools to improve workflows and productivity.
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Fluent in English.
Nice to have:
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Experience with automotive systems, in-vehicle integration environments, or vehicle signals.
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Experience working with Linux systems.
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Familiarity with cameras, radar, or LiDAR.
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Hands-on experience with lab equipment and test environments.
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Experience leading field experiments.
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Experience with CAD systems, such as SolidWorks or similar tools.
Skills
As published by lever
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