Job Description

Job Description;

Key Responsibilities

• Design, develop, and optimize embedded vision software using Xilinx Kria SOM
• Develop and integrate with FPGA-based image processing pipelines (ISP) for tasks such as:
• Demosaicing, noise reduction, white balancing, gamma correction, and image enhancement.
• Interface with CMOS image sensors (via MIPI CSI-2 or parallel interfaces) and configure them using I2C/SPI.
• Implement real-time image streaming over USB, Ethernet, or HDMI.
• Perform hardware bring-up of the Kria SOM platform with custom carrier boards connected to camera hardware.
• Work closely with clinical teams to tune imaging for optimal visualization in complex airway structures.
• Ensure compliance with medical device development standards, including software lifecycle (IEC 62304) and risk management (ISO 14971).

Qualification:

• Bachelor’s or Master’s degree in Electrical Engineering, Embedded Systems, or Computer Engineering.
• 5+ years of experience with embedded software development, FPGA programming, and vision systems.

Proficient in:

• Xilinx Kria SOM
• Open Source ISPs
• Embedded C/C++, VHDL or Verilog
• Strong experience in real-time image acquisition and processing from raw image sensors.
• Hands-on experience with Xilinx ISP cores and integrating AI acceleration on FPGA for vision tasks.
• Understanding of MIPI CSI-2, I2C/SPI protocols, and image data formats (RAW10/12, YUV, RGB).

Preferred Qualifications

• Experience in medical imaging, especially flexible endoscopy or chip-on-tip systems.
• Experience in working with medical-grade video pipelines, including latency optimization and surgeon feedback loops.
• Prior use of Kria KV260 Vision AI Starter Kit or production deployment of Kria SOM in embedded vision systems.

Familiarity with OpenCV, GStreamer, or V4L2 on embedded Linux.

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