Camera Software Engineer

1 week ago

Bengaluru, India Coders Brain Technology Private Limited Full time

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.- Thrrough 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. Qualifications & Skills : (Minimum Requirements)- Bachelors degree or higher in Computer Science, Electrical/Electronic Engineering, Imaging Science, or related fieldGoogle- 2+ years experience in C/C++ software development; exposure to embedded systems or Linux driver development- Strong knowledge of ISP fundamentals, digital image processing, and camera tuning concepts (AWB, AE, 3A)Reddit+4Google+4The Muse+4- Familiar with memory/buffer management in Linux or embedded environments- Experience in writing automation/test scripts using Python, MATLAB, or similarPreferred Skills :- Masters or PhD in relevant technical field- 4+ years in consumer camera ISP software development or tuning- Knowledge of color science, imaging sensor characteristics (CMOS/Bayer), IQ metrics like MTF, FOV, distortion- Familiarity with hardware drivers, HAL design, debugging tools, profiling, Linux kernel fundamentals- Experience in automated IQ testing frameworks, camera sensor integration and validation pipelines- Exposure to ML-based image processing or algorithm development- Prior exposure to HAL interfaces, buffer management, and tuning interfaces. (ref:hirist.tech)

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