Ehsan Zadkhosh
I am a senior C/C++ embedded engineer with over 12 years of experience in embedded programming, software architecture, and project management.
About
I am a senior C/C++ embedded engineer with over 12 years of experience in embedded programming, software architecture, and project management. I specialize in Adaptive AUTOSAR, ADAS module integration, and system-level debugging and testing.
I lead cross-functional teams using Agile methodologies to architect and deliver complex embedded Linux systems from kernel to application layer, with hands-on experience in ROS/ROS2, automotive Ethernet, CAN, and sensor fusion.
- 5 years' experience
- Joined October 2025
Industry experience
- Computers & Electronics
- Software & Internet
- Manufacturing
- Transportation & Logistics
- Professional Services
- Other
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Work experience· 28 roles
Led development and debugging of Adaptive Applications utilizing AUTOSAR and Adaptive AUTOSAR standards. Managed integration of complex ADAS modules (including SLAM, camera/LiDAR perception, sensor fusion, and DPC). Designed and implemented drivers for cameras and LiDARs. Conducted HIL/SIL/smoke/unit testing. Designed scenarios with Virtual Test Drive (VTD). Enabled event-based communications using ROS/ROS2 over TCP/UDP. Performed measurements with Vector tools (CANoe, CANape, CANalyzer) and TSmaster. Debugged with TRACE32 and Renesas E2 Studio. Worked with CAN (FD), Automotive Ethernet, and XCP. Carried out field tests and data collection. Applied Agile project management and Git workflows; supported remote management.
Led development and debugging of Adaptive Applications per AUTOSAR/Adaptive AUT OSAR standards; managed integration of ADAS modules (SLAM, camera/LiDAR perception, sensor fusion, DPC); designed and implemented camera/LiDAR drivers; conducted HIL/SIL, smoke, and unit tests; created scenarios with VTD; established ROS-based event communications over TCP/UDP; utilized Vector tools (CANoe, CANape, CANalyzer) and TSmaster; debugged with TRACE32 and Renesas E2 Studio; worked with CAN FD, Automotive Ethernet, and XCP; participated in field tests and data collection; supported Git workflows and Agile project management.
Lead the development and debugging of Adaptive Applications utilizing AUTOSAR and Adaptive AUT OSAR standards. Manage the integration of complex ADAS modules, including SLAM, camera/LiDAR perception, sensor fusion, and Decision, Planning, and Control (DPC). Design and implement drivers for cameras and LiDARs. Test ADAS functionalities using HIL, SIL, smoke testing, and unit testing. Create scenarios with Virtual Test Drive (VTD). Provide event-based communications using ROS and TCP/UDP. Utilize ROS/ROS2 frameworks, measurement and diagnostics with Vector Tools (CANoe, CANape, CANalyzer) and TSmaster. Debug with Lauterbach TRACE32 and Renesas E2 Studio. Work with CAN (FD), Automotive Ethernet, and XCP. Involved in field tests and data collection. Proficient in Git workflows and remote management. Project management based on Agile methodology.
Education· 21
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