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Camera Software Engineer - Hardware Abstraction Layer

Camera Software Engineer - Hardware Abstraction Layer

Coders Brain Technology Private LimitedBangalore
19 days ago
Job description

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 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.

    • (ref : hirist.tech)

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