Senior Camera BSP & Middleware Engineer

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:

3A algorithms (AE, AWB, AF)

Lens Shading Correction (LSC)

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

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