Linux kernel Camera Developer People Tech

4.0 - 9.0 years

15 - 25 Lacs

hyderabad

Work from Office

Key Responsibilities Design, implement, and maintain software for ISP pipeline modules (e.g., demosaicing, color correction, denoising, sharpening, auto-exposure, auto-white-balancing) based on Qualcomm/Google ISP architectureGoogle+7Dice+7Reddit+7Jointaro+4Google+4The Muse+4 Develop and maintain HAL (Hardware Abstraction Layer) and KMD (Kernel Mode Driver) interfaces interacting between host and camera submodulesDice Collaborate with hardware, tuning, and system teams to evolve tuning parameters and optimization strategies for image quality and performanceJointaroJointaro Manage memory and buffer lifecycles , implementing efficient buffer queue mechanisms under Linux kernel constraintsReddit+8jobed.ai+8Reddit+8 Develop and integrate image quality (IQ) tuning tools , scripts (Python/C++/MATLAB), and automation frameworksReddit+11in.indeed.com+11Reddit+11 Benchmark and validate image output quality using objective metrics (e.g. MTF, noise, low-light performance) via IQ test charts and automation scriptsReddit+2in.indeed.com+2Reddit+2 Participate in debugging, profiling, and performance optimizations , ensuring low power, latency, and resource usageDice Author and maintain technical documentation : API specs, tuning guides, interface descriptions, and test plansDiceRTDNA 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 similar Preferred 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.

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