Job Description
We are looking for an ADAS & Infotainment Test Engineer to design, develop, integrate, and validate advanced driver assistance and in-vehicle infotainment systems. The role involves working closely with cross-functional teams to deliver safe, high-performance, and user-centric automotive software solutions compliant with industry standards.
Key Responsibilities
ADAS Responsibilities
- Develop and integrate ADAS features such as ACC, AEB, LKA, BSD, FCW, and Parking Assist
- Work with sensor data (Camera, Radar, LiDAR, Ultrasonic) for perception and fusion
- Implement and optimize real-time algorithms for object detection, tracking, and decision making
- Support ADAS ECU bring-up, integration, and validation
- Perform SIL, MIL, HIL testing and analyze test results
- Ensure compliance with ISO 26262 (Functional Safety) and ASPICE
Infotainment Responsibilities
- Develop and integrate Infotainment systems (IVI) including cluster, head unit, and cockpit domain controllers
- Work with Android Automotive / QNX / Linux platforms
- Develop middleware and application software using C/C++, Java, Kotlin
- Integrate features such as navigation, media, Bluetooth, Wi-Fi, CarPlay, Android Auto
- Optimize boot time, performance, memory usage, and responsiveness
- Support HMI development and collaborate with UX/UI teams
Required Skills & Qualifications
Technical Skills
- Strong programming experience in C/C++
- Experience with ADAS or Infotainment ECU software development
- Good understanding of AUTOSAR (Classic or Adaptive)
- Knowledge of CAN, LIN, FlexRay, Ethernet
- Experience with RTOS, Embedded Linux, QNX, or Android Automotive
- Hands-on experience with debugging tools, CANalyzer, Wireshark, GDB
- Familiarity with SIL/MIL/HIL testing environments
Standards & Processes
- Knowledge of ISO 26262 , ASPICE , and automotive development lifecycle
- Experience with unit testing, integration testing, and system validation
- Exposure to CI/CD pipelines and version control (Git)
Nice to Have
- Experience with sensor fusion, computer vision, or AI/ML for ADAS
- Knowledge of OpenGL, Vulkan, or GPU acceleration
- Experience with Yocto, BSP customization
- Exposure to OTA updates and cybersecurity standards (ISO 21434)
Education
- Bachelor’s or Master’s degree in Automotive Engineering, Electrical, Electronics, Computer Science, or related field
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