Embedded SWE - Signal Image Processing

Role: Embedded SWE - Signal Image Processing
Location: Lafayette, CO

Job Description:
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:
o Xilinx Kria SOM
o Open-Source ISPs
o 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.