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About the role
This role involves expertise in camera optics, CMOS image sensors, and Image Signal Processors (ISPs) to deliver high-performance, reliable, and scalable solutions for automotive applications. The candidate will collaborate with cross-functional teams and OEM/Tier-1 partners to ensure our camera systems meet stringent safety and performance standards. Job description Key Responsibilities: Develop and optimize vision AI algorithms for object detection, lane departure warnings, and driver monitoring. Build image processing pipelines on platforms like Qualcomm Snapdragon and NVIDIA Jetson. Drive real-time solutions for dash cameras and 360-degree systems, ensuring MISRA and ISO 26262 compliance. Troubleshoot and resolve hardware-related issues, providing root cause analysis and solutions for real-time bugs. Stay updated on emerging camera technologies (e.g., ToF sensors, IR cameras) and recommend innovations to enhance product competitiveness. Mentor junior engineers and contribute to technical documentation and design reviews. Qualifications: Bachelor s or Master s degree in Computer Science Engineering, Electronics, Optics, or a related field. 8+ years of experience in camera software development, preferably in consumer electronics or automotive industries. Proven expertise in CMOS image sensor design, lens selection, and ISP tuning for high-performance imaging systems. Experience with automotive camera systems (e.g., ADAS, surround-view, driver monitoring) and standards like ISO 26262 or AEC-Q100. Familiarity with embedded systems and interfacing with SoCs (e.g., Qualcomm, NVIDIA). Excellent problem-solving skills and experience with customer-facing technical support or bug resolution. Experience with automotive vision products, including 360-degree cameras or dash cameras. Knowledge of emerging technologies like LiDAR, ToF sensors, or IR cameras for automotive applications. Prior work with global teams or OEMs in defining product specifications based on consumer needs. Understanding of vision AI integration with camera hardware for real-time processing.
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