🕒 yesterday
Build and maintain full-stack software for wealth technology products, using C#.NET, Azure and frontend frameworks while taking ownership of quality, reliability and customer outcomes.
System Integration Engineer
📅 Sep 9
System IntegrationHardware/software IntegrationSensor IntegrationAutomation
📜 Description
- Install, configure, and bring up hardware and software for sensors and vehicle subsystems.
- Develop automation and AI-based tools to streamline workflows and improve engineering productivity.
- Troubleshoot complex system issues, lead root cause analysis, and implement corrective actions.
- Collaborate with multidisciplinary engineering teams through development and validation.
- Lead field experiments to evaluate hardware and sensor technologies and execute complex data collection scenarios.
🛠️ Requirements
- 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.
Full job 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?
-
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:
Nice to have:
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