Location
In office
Seniority
Staff · 5+ years exp
Confirmed on the employer's own hiring board on Nov 13, 2026. First seen by Alion on Apr 7, 2025. Vedya Labs scores B on the Alion truth index.
Overview
Company
Impact
Profile match
Vedya Labs accelerates AI adoption through cutting-edge solutions in Edge AI, Embedded Software, IoT, Industry 4.0, and GenAI. With over 12 years of expertise, we collaborate with top tech companies to drive digital transformation and innovation.
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 you’ll 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 team's 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:
- Bachelor’s or Master’s 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.
- Strong communication & technical leadership skills and the ability to work effectively in a collaborative, cross-functional team environment.
- Detail-oriented with a focus on delivering high-quality, reliable software.
- 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.
- Familiarity with continuous integration and automated testing practices.
- Project management experience
Why join us:
- Opportunity to work on innovative projects with the latest Embedded & AI technologies
- Opportunities for accelerated career growth and professional development. Engineer your future, we empower our employees to truly own their career and development.
- A collaborative and inclusive team culture
- Competitive compensation and benefits package
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