Camera Senior Engineer - ISP/Tuning/Driver

<strong>Job Requirements </strong><br><p>As a Camera Sub‑Module Engineer, you will be responsible for developing and optimizing camera software modules, including ISP pipeline components, driver interfaces (HAL/KMD), tuning tools, and memory/buffer management for embedded systems or SoC platform</p><p> </p><p><strong>Embedded camera systems, sensor integration</strong></p><p>MIPI-CSI-2, I2C/SPI, V4L2, sensor driver design (Sony, Aptina, OmniVision), FPDLINK, CVBS, analog cameras, imaging pipeline (3A, HDR, color correction)</p><p><strong>Key Responsibilities</strong></p><ul><li>Basic understanding of  <strong>ISP pipeline modules</strong> </li><li>Develop and maintain <strong>HAL (Hardware Abstraction Layer)</strong> and <strong>KMD (Kernel Mode Driver)</strong> interfaces interacting between host and camera sub‑modules.</li><li> Understand tuning  parameters, and system teams to evolve tuning parameters and optimization strategies for image quality and performance.</li><li>Manage <strong>memory and buffer lifecycles</strong>, implementing efficient buffer queue mechanisms under Linux kernel constraints.</li><li>Understand  <strong>image quality (IQ) tuning tools</strong>, scripts (Python/C++/MATLAB), and automation frameworks.</li><li>Thorough knowledge of <strong>IFE</strong>( Image Front end) and IQ ( Image Quality).</li><li><strong>C++</strong>  design patterns is must and good at Linux Kernel Programming.</li><li>Benchmark and validate image output quality using objective metrics (e.g. MTF, noise, low-light performance) via IQ test charts and automation script.</li><li>Participate in <strong>debugging, profiling, and performance optimizations</strong>, ensuring low power, latency, and resource usage.</li><li>Author and maintain <strong>technical documentation</strong>: API specs, tuning guides, interface descriptions, and test plan.</li></ul><br><br><strong>Work Experience </strong><br><p><strong>Minimum Requirements</strong></p><ul><li><strong>Bachelor’s degree or higher</strong> in Computer Science, Electrical/Electronic Engineering, Imaging Science, or related field</li><li><strong>2+ years</strong> experience in C/C++ software development; exposure to embedded systems or Linux driver development</li><li>Strong knowledge of <strong>ISP fundamentals</strong>, digital image processing, and camera tuning concepts (AWB, AE, 3A)</li><li>Familiar with <strong>memory/buffer management</strong> in Linux or embedded environments</li><li>Experience in writing automation/test scripts using <strong>Python, MATLAB, or similar</strong></li></ul><p><strong>Preferred Skills</strong></p><ul><li>Master’s or PhD in relevant technical field </li><li>4+ years in <strong>consumer camera ISP software development or tuning</strong></li><li>Knowledge of <strong>color science</strong>, imaging sensor characteristics (CMOS/Bayer), IQ metrics like MTF, FOV, distortion</li><li>Familiarity with <strong>hardware drivers</strong>, HAL design, debugging tools, profiling, Linux kernel fundamentals</li><li>Experience in <strong>automated IQ testing frameworks</strong>, camera sensor integration and validation pipelines</li><li>Exposure to <strong>ML-based image processing or algorithm development</strong></li><li>Prior exposure to <strong>HAL interfaces</strong>, buffer management, and tuning interfaces.</li></ul><br><br>