Camera (ISP/Tuning/Driver) Engineer - Bengaluru

Quest Global; Bengaluru; On-site; INR 700,000 - 900,000; Full time

Job summary

A leading technology solutions provider in India is seeking a Camera Sub‑Module Engineer responsible for developing and optimizing camera software modules for embedded systems. The ideal candidate should possess a Bachelor's degree in Computer Science or related, with 2+ years of C/C++ development experience. You will work on image quality tuning and manage memory/buffer lifecycles while collaborating with system teams to enhance performance. This role offers the opportunity to engage in cutting-edge camera technology projects.

Qualifications

• Bachelor’s degree or higher in Computer Science, Electrical/Electronic Engineering, Imaging Science, or related field.
• 2+ years of experience in C/C++ software development, especially in embedded systems or Linux driver development.
• Strong knowledge of ISP fundamentals and digital image processing.

Responsibilities

• Develop and maintain HAL and KMD interfaces for camera sub-modules.
• Understand tuning parameters for image quality and performance optimization.
• Author and maintain technical documentation including API specs and test plans.

Skills

C++ programming

Embedded systems

Memory management

Image processing

Automation scripting

Education

Bachelor's degree in Computer Science or related field

Master’s or PhD in a relevant technical field

Tools

Python

MATLAB

Job description

Overview

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 platforms. This role involves working with embedded camera systems and sensor integration including MIPI-CSI-2, I2C/SPI, V4L2, sensor driver design (Sony, Aptina, OmniVision), FPDLINK, CVBS, analog cameras, and imaging pipelines (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 collaborate with 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).
• Proficiency in C++ design patterns and Linux kernel programming is a must.
• Benchmark and validate image output quality using objective metrics (e.g., MTF, noise, low-light performance) via IQ test charts and automation scripts.
• 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 plans.

Minimum Requirements

• Bachelor’s degree or higher in Computer Science, Electrical/Electronic Engineering, Imaging Science, or related field
• 2+ years of 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 a 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