Job Requirements

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

Key Responsibilities

Basic understanding of  ISP pipeline modules Develop and maintain HAL (Hardware Abstraction Layer) and KMD (Kernel Mode Driver) interfaces interacting between host and camera sub‑modules. Understand tuning  parameters, and system teams to evolve tuning parameters and optimization strategies for image quality and performance.Manage memory and buffer lifecycles, implementing efficient buffer queue mechanisms under Linux kernel constraints.Understand  image quality (IQ) tuning tools, scripts (Python/C++/MATLAB), and automation frameworks.Thorough knowledge of IFE( Image Front end) and IQ ( Image Quality).C++  design patterns is must and good at Linux Kernel Programming.Benchmark and validate image output quality using objective metrics (e.g. MTF, noise, low-light performance) via IQ test charts and automation script.Participate in debugging, profiling, and performance optimizations, ensuring low power, latency, and resource usage.Author and maintain technical documentation: API specs, tuning guides, interface descriptions, and test plan.

Work Experience

Minimum Requirements

Bachelor’s degree or higher in Computer Science, Electrical/Electronic Engineering, Imaging Science, or related field2+ years experience in C/C++ software development; exposure to embedded systems or Linux driver developmentStrong knowledge of ISP fundamentals, digital image processing, and camera tuning concepts (AWB, AE, 3A)Familiar with memory/buffer management in Linux or embedded environmentsExperience in writing automation/test scripts using Python, MATLAB, or similar

Preferred Skills

Master’s or PhD in relevant technical field 4+ years in consumer camera ISP software development or tuningKnowledge of color science, imaging sensor characteristics (CMOS/Bayer), IQ metrics like MTF, FOV, distortionFamiliarity with hardware drivers, HAL design, debugging tools, profiling, Linux kernel fundamentalsExperience in automated IQ testing frameworks, camera sensor integration and validation pipelinesExposure to ML-based image processing or algorithm developmentPrior exposure to HAL interfaces, buffer management, and tuning interfaces.