Project Overview \/ Assignment Overview
Join a long-term international engineering project delivered by Jabil and work on advanced embedded camera and video technologies for a global leader in smart automation and control systems.
This is an opportunity for an experienced Camera \/ Embedded Linux Engineer who enjoys working close to the hardware and deep inside the Linux and Android camera stacksolving the complex problems that happen where image sensors, drivers, kernel, ISP, multimedia frameworks, and Android come together.
You'll contribute to a unified camera technology platform powering multiple product families used in conference rooms, classrooms, auditoriums, home offices, and enterprise environments worldwide. Your work will have a direct impact on camera performance, video quality, system stability, and the overall user experience of commercially deployed products.
Deep Camera & Embedded Linux Engineering
Rather than working only at the application layer, you'll have the opportunity to investigate and solve problems across the complete camera pipeline, from hardware interfaces and Linux kernel drivers through Android and multimedia frameworks.
Solve Problems That Require Real Engineering
You may find yourself analyzing kernel logs and driver behavior, tracing frames through V4L2 and the ISP, debugging MIPI CSI-2 communication, investigating Android Camera HAL behavior, tuning GStreamer pipelines, or determining whether a difficult problem originates in the sensor, hardware interface, kernel, driver, multimedia stack, or higher software layers.
Technical Ownership & Global Product Impact
We value senior engineers who want more than a predefined list of implementation tasks. You'll have the opportunity to own complex technical topics from investigation through solution, contribute to architecture and engineering decisions, and work directly with globally distributed technical stakeholders.<\/p>\n
Required Expertise (Must have):
\u00b7 8+ years of embedded\/low-level development experience, with 45+ years focused on Linux \/ Android BSP and camera or multimedia subsystem integration
\u00b7 Strong C\/C++ programming skills
\u00b7 Strong experience with Linux kernel camera drivers and V4L2 (including sub-device drivers)
\u00b7 Proven experience integrating and maintaining Android Camera HAL
\u00b7 Hands-on experience with camera sensor bring-up and board-level integration
\u00b7 Experience working with Device Tree \/ DTBO overlays, including power sequencing, reset, and clock (MCLK) configuration
\u00b7 Experience with ISP and image quality (IQ) pipelines, including:
o 3A algorithms (AE, AWB, AF),
o Lens Shading Correction (LSC),
o Temporal Noise Reduction (TNR)
\u00b7 Ability to debug complex camera pipelines across kernel and user space
\u00b7 Experience with Git\/Gerrit and build systems (Yocto or AOSP)
\u00b7 Strong understanding of embedded Linux and Android system architecture
\u00b7 Experience with camera validation and debugging frameworks.
\u00b7 Strong verbal and written communication skills, with the manner to effectively collaborate for the successful project delivery and to take ownership of complex technical challenges.<\/p>\n
Nice to have
\u00b7 Experience with Qualcomm's CHI pipeline
\u00b7 Experience with ISP pipelines and proprietary HAL implementations
\u00b7 Knowledge of multimedia frameworks such as GStreamer or OpenCV
\u00b7 Experience working with high-resolution or multi-camera systems
\u00b7 Familiarity with automated validation frameworks for camera subsystems
\u00b7 Understanding of Android CTS\/GTS compliance and metadata policies<\/p>\n
Expected Deliverables and Areas of Contribution
\u00b7 Take responsibility for cross-platform camera architecture and board bring-up deliverables across Linux and Android platforms.
\u00b7 Develop and maintain Linux camera drivers, including V4L2 sub-device drivers.
\u00b7 Integrate, maintain, and optimize Android Camera HAL components.
\u00b7 Design and validate Device Tree \/ DTBO overlays, including power, reset, and MCLK configuration.
\u00b7 Develop automated media graph validation, streaming verification, and long-running stress test suites.
\u00b7 Tune image quality pipelines using vendor-provided IQ tools.
\u00b7 Collaborate with project hardware teams to validate and troubleshoot CSI timing, PHY configuration, and camera sensor integration.
\u00b7 Collaborate with project silicon and camera vendors to support platform integration and resolve technical issues.
\u00b7 Prepare and maintain technical documentation related to camera bring-up and platform integration.
\u00b7 Support performance optimization, platform stability, and long-term maintainability.<\/p>\n
Jabil Inc. partners with experienced independent professionals who contribute their expertise to international engineering projects. Let's together create, innovate, and solve meaningful technical challenges for world-leading brands.<\/p>\n
Engagement highlights:
\u00b7 Contribute to a large international corporation delivering advanced engineering solutions for market-leading global clients.
\u00b7 Real product impact and clear technical scope.
\u00b7 Engage based on a B2B basis as an independent contractor who retains discretion over the manner, time, and place of service delivery, subject to project requirements and agreed deliverables, giving you flexibility in how and where you work.
\u00b7 Collaborate with international engineering stakeholders and highly experienced specialists across different countries.
\u00b7 Develop your expertise in new technical areas, modern technologies, and advanced embedded solutions.
\u00b7 Influence technical decisions and contribute your knowledge to products used globally.<\/p>\n","protected":false},"excerpt":{"rendered":"
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