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Principal Embedded SWE – Image Signal Processing

TestingXperts
Denver, CO Contractor
POSTED ON 8/5/2025 CLOSED ON 9/5/2025

What are the responsibilities and job description for the Principal Embedded SWE – Image Signal Processing position at TestingXperts?

Principal Embedded SWE – Image Signal Processing  

Hybrid role at Denver, CO (CONTRACT OR FULL TIME BOTH)

 

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).

 

Qualifications

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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