Embedded Engineer

Key Responsibilities:

• Design and develop innovative camera system solutions, including sensor-to-computer workflows.
• Develop and maintain device drivers for Linux-based camera systems.
• Design and implement high-performance video processing systems on Zynq UltraScale platforms.
• Optimize memory management and high-rate video stream handling for efficient data processing.
• Develop and maintain V4L (Video for Linux) drivers for video data acquisition and processing.
• Collaborate with hardware engineers to integrate video processing components and ensure system compatibility.
• Optimize system performance for low latency and high throughput video data processing.
• Develop and maintain software applications using C/C and other relevant programming languages.
• Assist in hardware accelerator development using Vitis.
• Troubleshoot and debug complex system issues using tools such as Vivado, SDK, and Linux debugging tools.
• Participate in code reviews, ensuring adherence to coding standards and best practices.
• Maintain technical documentation, including design specifications, user manuals, and test plans.

Required Skills & Experience:

• Bachelor's or Master’s degree in Electrical Engineering, Computer Engineering, or a related field.
• 5 years of experience working with AMD FPGA and Zynq platforms, with a focus on high-rate video stream processing applications.
• Strong experience in Embedded Linux development and driver development, particularly with Linux Kernel and sensor devices (V4L2).
• Deep knowledge of AMD/Xilinx or Lattice FPGA platforms, especially Xilinx and Zynq solutions.
• Proficiency in Petalinux, Linux kernel development, and debugging tools.
• Strong programming skills in C/C with expertise in the Linux operating system.
• Proficiency in image processing and embedded systems development.
• Extensive experience in camera product development with a track record of high-volume camera system implementations.
• Familiarity with digital cameras, thermal cameras, and infrared cameras.
• Experience with rolling shutters and/or neuromorphic sensors is a plus.
• Strong industry experience in developing embedded systems for camera solutions.

Preferred Skills:

• Experience with Vitis for hardware acceleration.
• Hands-on experience with Vivado, SDK, and other Xilinx development tools.
• Knowledge of real-time processing techniques and low-latency optimization.
• Experience in aerospace, defense, medical, or industrial applications involving embedded camera systems.