FPGA Design Engineer - AI and HPC Networking

Job Description

At Oriole Networks, we are developing disruptive technologies for AI/ML and HPC networking that will revolutionise Data Centers. These technologies will speed up training and inference while dramatically reducing energy consumption for a sustainable future.

We are looking for an experienced FPGA Engineer with passion and experience in prototyping and experiments. The engineer will work iteratively through a series of prototypes to ultimately deliver a production-grade solution. Responsibilities will include microarchitecture definition, implementation, and testing, as well as interfacing with software.

Responsibilities:

• Microarchitecture definition in collaboration with the broader team.
• Preparing detailed technical documentation and presentations to stakeholders.
• RTL Implementation, synthesis, timing closure.
• Unit verification planning and simulation testing using SystemVerilog.
• Delivering and validating FPGA-based lab setups for customer trials.

Skills & Experience:

• Extensive hands-on industrial experience of FPGA design for network applications at 100Gbps and above.
• Experience with high-performance FPGA devices: Xilinx Versal Premium.
• Bare metal use of high-speed transceivers such as GTM/GTY.
• Experience and good understanding of packet processing and MAC protocol, PTP etc. Experience using PCIe (at least 4th gen) though it is optional.
• Strong knowledge of FPGA tool flows (synthesis, partitioning, place&route, timing analysis).
• Comprehensive understanding of clock domain crossing techniques.
• Strong knowledge of FPGA debug tools such as JTAG/ILA.
• Excellent skills in SystemVerilog/Verilog/VHDL.
• Experience using simulation tools such as Questa, ModelSim, Vivado and Vitis.
• Scripting and automation, such as TCL and Python. Efficient in C/C++.
• A humble attitude and good communication skills.
• Ability to create an understanding of complex ideas, concepts and designs to a variety of audiences from multiple backgrounds.
• Bachelor or Master degree in electronics engineering, physics, or other relevant fields or experience within the industry.