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Jabil

Senior Camera BSP Engineer – Middleware, Android

Jabil

Camera BSP & Middleware Engineer developing unified camera infrastructure across Linux and Android. Involves sensor integration, driver development, and ensuring camera performance standards adherence.

Posted 6/19/2026full-timeRemote • 🇭🇺 HungarySeniorWebsite

Tech Stack

Tools & technologies
AndroidLinux

About the role

Key responsibilities & impact
  • 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

Requirements

What you’ll need
  • 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

Benefits

Comp & perks
  • Health insurance
  • 401(k) matching
  • Paid time off
  • Flexible work arrangements
  • Professional development opportunities

ATS Keywords

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Hard Skills & Tools
Linux camera driversV4L2Android Camera HALDevice TreeDTBO overlaysimage processing pipelines3A algorithmsLens Shading CorrectionTemporal Noise Reductionembedded Linux