Iranian Company in Medical Equipment Industry
Annual Package: 600 - 900 million Tomans
Responsibilities
· Develop and implement computer vision algorithms focused on Full HD image enhancement and sharpness improvement.
· Design lightweight and efficient image processing algorithms suitable for real-time execution on embedded systems.
· Prototype and validate algorithms in MATLAB before transferring them to FPGA implementation.
· Collaborate with electronics and hardware engineers to integrate image acquisition, processing, and output modules.
· Optimize algorithms for real-time performance in image and video processing applications.
· Work on FPGA-based acceleration of computer vision algorithms using Verilog, VHDL, or C.
· Process and analyze raw image and video data from camera sensors, ensuring accurate color and quality correction.
· Contribute to system design involving FPGA, GPU, and microcontroller components for end-to-end image processing.
· Evaluate algorithm performance and accuracy under various lighting and image conditions.
· Document workflows, test results, and algorithm specifications for reproducibility and long-term maintenance.
Requirements
· Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, Computer Science, or related fields.
· At least 5 years of experience in computer vision, image processing, or related embedded vision domains.
· Strong experience with PyTorch and OpenCV for developing and training vision algorithms.
· Hands-on experience in real-time image and video processing system design and optimization.
· Familiarity with FPGA-based algorithm implementation using Verilog, VHDL, or high-level synthesis tools.
· Proficiency with MATLAB for modeling, simulation, and performance testing of vision algorithms.
· Strong understanding of digital image processing concepts including filtering, enhancement, and color correction.
· Ability to implement and optimize algorithms for hardware-level execution with resource and latency constraints.
· Experience working with camera sensors, color pipelines, and video data acquisition.
· Strong analytical, debugging, and problem-solving skills for both algorithmic and hardware integration challenges.