System Integration Engineer
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:
- 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.