Embedded Software Engineer - Camera

Job Requirements

As a Camera SubModule 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

Embedded camera systems,

MIPI-CSI-2, I2C/SPI, V4L2, sensor driver design (Sony, Aptina, OmniVision), FPDLINK, CVBS, analog cameras, imaging pipeline (3A, HDR, color correction)

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 submodules.
•  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

• Bachelors degree or higher

  in Computer Science, Electrical/Electronic Engineering, Imaging Science, or related field

• 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)
• Familiar with

  memory/buffer management

  in Linux or embedded environments
• Experience 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 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.