We are seeking a Senior FPGA Designer with 5+ years of expertise in Xilinx FPGA development and HDL architecture. This role focuses on vision-based motion analysis and machine learning applications, leveraging Xilinx high-performance FPGA architectures for real-time image processing.
Interface CMOS image sensors with Xilinx FPGAs for real-time image capture and processing.
Architect and implement FPGA-based vision processing pipelines for real-time imaging applications.
Develop custom hardware accelerators for vision processing, including image enhancement, and feature extraction.
Collaborate with embedded software, and hardware teams to deploy FPGA-based vision and machine learning applications.
Stay ahead of emerging trends in FPGA-based machine learning & vision processing.
Requirements
BSEE or equivalent, plus 5+ years of hands-on FPGA design experience, preferably specializing in Xilinx FPGAs.
Expertise in HDL programming (Verilog/SystemVerilog/VHDL).
Experience with multiple clock domains and CDC techniques.
Experience with high-speed interfaces (DDR4/5, Ethernet, etc.).
Experience debugging with FPGA internal logic analyzers (Chipscope, ILA).
Preferred: Experience with Xilinx DPU (Deep Learning Processing Unit) or other neural network processing engines, and AI inference frameworks (TensorFlow, PyTorch, ONNX, etc.).
Preferred: Understanding of ML vision models (CNNs, RNNs, Transformers) and FPGA-based ML acceleration.
Preferred: Experience with CMOS image sensor interfaces, such as MIPI CSI-2, SLVS-EC, LVDS, sub-LVDS, GigE Vision.