Embedded Device Drivers Expert

We are seeking an experienced Embedded Linux Device Driver expert to join our team. The ideal candidate will have hands-on experience with camera interfaces, serializers, de-serializers, camera frameworks, and V4L2 (Video4Linux2), and Linux BSP (Board Support Packages). You will collaborate with hardware and software engineers to bring up and optimize camera devices on embedded platforms, ensuring realization of high-performance, reliable and efficient Edge AI products/solutions.

Role & Responsibilities / What youll do:

• Develop and maintain camera device drivers for Linux-based embedded systems, focusing on integration with serializers, de-serializers, and camera sensors. Perform camera sensor bring-up, including configuring and testing various camera sensors and modules on embedded systems.
• Implement and support V4L2 (Video4Linux2) camera drivers for a variety of image sensors and camera modules.
• Design and optimize camera frameworks to support camera streaming, capture, and processing for embedded Linux systems.
• Collaborate with hardware engineers to understand the camera module architecture, sensor features, and integrate hardware interfaces with software drivers.
• Debug and troubleshoot camera-related issues at both the driver and system level, including issues with memory, performance, and synchronization.
• Perform code reviews and ensure code quality through adherence to best practices.
• Lead and mentor a team of 3 to 6 engineers; Plan, delegate and monitor day to day technical tasks
• Support and work with project manager for project estimation and planning, take part in technical discussions with customers
• Participate in the teams software processes, including requirements and design documentation, test-plan generation and execution, peer design and code reviews, process feedback and improvements
• Stay current with the industry trends and developments in camera technologies, V4L2, Edge AI and embedded Linux systems.

Required skills / Whom we are looking for:

• Bachelors or Masters degree in related engineering field with 5+ to 10 years of hands-on experience in embedded Linux device drivers and BSPs
• Proficiency in C/C++ programming languages.
• Strong experience with V4L2 (Video4Linux2) API, frameworks, and camera capture pipelines. Camera frameworks (e.g., Media Controller API, V4L2 Subdev API).
• Deep understanding and experience with camera sensors, serializers, de-serializers, and related hardware interfaces (e.g., MIPI CSI-2, LVDS, I2C, SPI).
• Proven experience in Linux device tree configuration, Linux BSP development, board bring-up and integration for camera support on embedded platforms.
• Strong debugging and troubleshooting skills, including experience with tools like GDB, JTAG, and kernel debugging.
• Experience with kernel space programming and understanding of Linux kernel internals.
• Strong understanding of Processor/SoC architecture, memory management, interrupt handling, and low-level programming.
• Experience of leading small to medium size teams to achieve technical goals of assigned project
• Experience with version control systems such as Git or SVN.
• Self-motivated with a strong passion for embedded AI systems and technology.

Nice-to-haves

• Experience with any other platform Linux device drivers, power management, performance optimization or hardware/software integration etc.,
• Familiarity with Android Camera HAL and OpenCV integration for image processing and computer vision tasks.
• Experience with Qualcomm Camera frameworks
• Experience with debugging camera performance and image quality issues (e.g., exposure, white balance, noise reduction).
• Experience with scripting languages: Python, shell scripts
• Experience with real-time operating systems (RTOS) like QNX, FreeRTOS, VxWorks, or similar.