FPGA Engineer in Oxford

Responsibilities

• Algorithm implementation: Translate complex probabilistic algorithms from high-level models, such as pseudocode/Python/C++/MATLAB, into highly pipelined, resource-efficient FPGA RTL.
• RTL design from scratch: Design and implement custom digital logic using VHDL where off-the-shelf vendor IPs are insufficient, bottlenecked, or introduce latency.
• High-speed I/O integration: Architect data acquisition pipelines interfacing with the analogue front end via ultra-fast ADCs and high-speed transceivers, as well as interfacing to high-throughput computer host architectures via PCIe and high-speed Ethernet.
• System architecture: Work closely with hardware and software engineers, the research team, and ASIC architects to develop the high-level system architecture.
• Verification & bring-up: Develop rigorous testbenches and simulations to ensure compliance with functional and timing requirements. Participate in lab bring-up and debugging of physical hardware.
• Optimisation: Use advanced debugging tools and techniques to analyse and optimise performance, timing closure, power consumption, and resource utilisation across multiple clock domains.

Requirements

• Degree in Electrical Engineering, Computer Engineering, or a related field.
• 5+ years of hands-on experience in FPGA digital design, including designing and debugging resource-intensive high-speed digital systems.
• Expertise in HDL: Strong proficiency in HDL coding, and a proven track record of writing custom RTL from scratch.
• PS/Embedded development knowledge: Practical understanding of processor-side development for FPGA SoC platforms, particularly Zynq or similar PS/PL architectures.
• Math to hardware: Proven ability to translate complex mathematical models into hardware accelerators, including bit-accurate system modelling and fixed-point arithmetic.
• Digital design fundamentals: Solid understanding of advanced digital design concepts, including timing closure for highly utilised designs and clock domain crossing (CDC).
• Toolchains: Deep experience with design and verification tools such as Xilinx Vivado, Vitis, and TCL scripting.
• Lab/debug skills: Familiarity with hardware debugging tools, such as JTAG debuggers, oscilloscopes, spectrum analysers, signal generators, and logic analysers, and lab bring-up of custom boards.

What makes you stand out

• Synchronised FPGA interconnect network within a scalable cluster approach.
• Demonstrated experience with implementing stochastic problems, optimisation algorithms, neural network, or artificial intelligence / machine learning algorithms into hardware.
• Direct experience with the ASIC design flow: act as the critical bridge towards custom silicon by prototyping, emulating, and validating our probabilistic computing architectures on FPGA platforms prior to ASIC tape-out.
• Experience designing highly optimised, low-latency computing architectures, such as high-frequency trading, custom digital signal processing, or high-performance computing.

Why join us?

It's an exciting time to work in probabilistic computing and you’ll be defining the libraries for an entirely new class of computer. We maintain strong ties to the University of Oxford, offering a vibrant intellectual environment and access to world-leading experts. Our technology targets critical real-world sectors, including logistics, drug discovery, and climate modeling. We are a diverse team of passionate thinkers meeting builders. We value curiosity, transparency and a good sense of humour.

Quantum Dice is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.