Camera (ISP/Tuning/Driver) Senior Engineer - Bengaluru

As a Camera Sub‑Module 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, sensor integration

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 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.
• 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.

Minimum Requirements

• Bachelor’s 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.