Camera BSP and Middleware Engineer (Android BSP Engineer)

Experience Level: 8+ years of embedded/low-level development experience, with 4–5+ years
focused on Linux / Android BSP and camera or multimedia subsystem integration.
About Client
Our client is the world's leading manufacturer of advanced control and automation systems, innovating technology and reinventing the way people live and work, offering integrated solutions to control audio & video systems. The client streamlines technology, improving the quality of life for people in corporate boardrooms, conference rooms, classrooms, auditoriums, and in their homes.
The automation and control solutions for buildings and homes let people control entire environments with the push of a button, integrating systems such as A/V, lighting, shading, IT, security, BMS, and HVAC to provide greater comfort, convenience, and security. All the products are designed and built to work together as a cohesive system, enabling customers to monitor, manage, and operate everything from the cloud.

Job Description
We are looking for a Camera BSP & Middleware Engineer to drive the design and development of a unified camera infrastructure across Linux and Android platforms.
This role combines deep embedded Linux and Android expertise with camera subsystem integration. The engineer will be responsible for sensor bring-up, driver development,
middleware integration, and image quality tuning, ensuring compliance with Android Camera HAL standards and optimized multimedia performance across platforms.

Technical Requirements (Mandatory)
 Strong experience with Linux kernel camera drivers and V4L2 (including sub-device drivers)
 Proven experience integrating and maintaining Android Camera HAL
 Hands-on experience with camera sensor bring-up and board-level integration
 Experience working with Device Tree / DTBO overlays, including power sequencing, reset, and clock (MCLK) configuration
 Experience tuning image quality pipelines, including:
o 3A algorithms (AE, AWB, AF)
o Lens Shading Correction (LSC)
o Temporal Noise Reduction (TNR)
 Ability to debug complex camera pipelines across kernel and user space
 Experience with Git/Gerrit and build systems (Yocto and AOSP)
 Strong understanding of embedded Linux and Android system architecture

Responsibilities
 Own cross-platform (Linux and Android) camera architecture and board bring-up
 Develop and maintain Linux camera drivers (V4L2 sub-devices)
 Integrate and support Android Camera HAL components
 Create and validate Device Tree / DTBO overlays for camera hardware configuration
 Automate media graph validation, streaming tests, and long-running stress test suites
 Tune image processing pipelines using vendor-provided IQ tools
 Collaborate closely with hardware teams on CSI timing, PHY configuration, and sensor onboarding
 Support performance optimization and long-term platform stability
Preferred Skills
 Experience with ISP pipelines and proprietary HAL implementations
 Knowledge of multimedia frameworks such as GStreamer or OpenCV
 Experience working with high-resolution or multi-camera systems
 Familiarity with automated validation frameworks for camera subsystems