We are partnering with an innovative Earth Observation company developing next-generation satellite imaging payloads. They are seeking an experienced FPGA Design Engineer to take ownership of high-performance image acquisition and processing systems, working across the full data path from sensor interfaces through to onboard processing and memory architectures.
This is a hands-on role focused on designing robust, high-throughput FPGA solutions for demanding imaging applications, collaborating closely with hardware, software, and systems teams in an agile development environment.
Key Responsibilities
* Develop and optimise VHDL for Xilinx 7-Series, UltraScale+, and Versal device.
* Design high-speed interfaces including PCIe, Ethernet, MIPI CSI-2, and SerDes-based communication.
* Architect and implement high-bandwidth data paths using AXI protocols, DMA, and memory interface.
* Support AI and image processing acceleration on FPGA platform.
* Configure and optimise DDR4/LPDDR4 memory subsystem.
* Perform timing analysis, timing closure, and multi-clock domain design.
* Debug and validate hardware using simulation, hardware-in-the-loop testing, and FPGA debugging tool.
* Contribute to technical documentation, processes, and product development best practice.
* Drive continuous improvement and contribute innovative ideas to future product development.
Requirements:
* Degree in Electronics Engineering, Telecommunications, Computer Engineering, or a related discipline.
* Strong commercial experience developing FPGA designs in VHDL.
* Extensive experience with Xilinx FPGA architectures and toolchains, including Vivado and Vitis.
* Strong understanding of AXI-based architectures, IP integration, and high-speed digital design.
* Experience with simulation, verification, and testbench development.
* Proficiency with Tcl and/or Python scripting.
Desirable Experience:
* Xilinx Versal AI Engine and NoC architectures.
* Vitis HLS and hardware acceleration workflows.
* Space, satellite, or other high-reliability embedded systems environments.
* Radiation-tolerant design and SEU mitigation techniques.
* Image processing, computer vision, or AI acceleration on FPGA platforms.