Linux kernel Camera Developer

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.