The Senior Camera BSP & Middleware Engineer at Jabil will lead the design and development of a unified camera infrastructure across Linux and Android platforms. This role requires deep expertise in embedded systems, with a focus on camera subsystem integration, driver development, and image quality optimization to meet Android Camera HAL standards.
What You'll Do
- 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
What We're Looking For
- 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)
- Experience tuning image quality pipelines, including: Lens Shading Correction (LSC)
- Experience tuning image quality pipelines, including: 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
Nice to Have
- 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
Technical Stack
- Linux kernel
- V4L2
- Android Camera HAL
- Device Tree
- DTBO overlays
- Git
- Gerrit
- Yocto
- AOSP
- 3A algorithms (AE, AWB, AF)
- Lens Shading Correction (LSC)
- Temporal Noise Reduction (TNR)
- CSI timing
- PHY configuration
- ISP pipelines
- GStreamer
- OpenCV
Benefits & Compensation
- Jabil does not request payments for interviews or at any other point during the hiring process
- Accessibility accommodation available for qualified individuals with disabilities via [email protected]
- Equal opportunity employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, age, disability, genetic information, veteran status, or any other characteristic protected by law
Jabil, including its subsidiaries, is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, age, disability, genetic information, veteran status, or any other characteristic protected by law.
