Overview
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.
Full job description
About The Role
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:
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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.
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