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.