Signal Integrity Engineer

Oriole Networks is building next-generation photonic networking systems to power the future of AI and high-performance computing. By moving data with light instead of electrons, we enable dramatically higher bandwidth, lower latency, and reduced energy consumption.

We are taking optical circuit switching from cutting-edge research to real-world deployment, enabling the next generation of scalable AI infrastructure. Backed by strong funding and deep academic roots, we are building a world-class team to turn breakthrough science into production systems.

We are seeking a PhD-level RF / High-Speed Electronics Engineer with a strong foundation in applied mathematics, electromagnetic theory, and measurement science.

You will work at the intersection of RF engineering, signal integrity, and electro-optics, developing high-frequency systems that interface closely with advanced photonic components operating at multi-tens of GHz and beyond.

This role is ideal for candidates who think from first principles, are rigorous in experimentation, and are motivated to bridge theory, simulation, and real-world measurements.

• High-speed circuit design:
  Contribute to high-speed interconnects and transceiver electronics, including drivers, TIAs, and front-end circuits for modulators and photodetectors
• 3D EM modelling & simulation:
  Develop and apply full-wave 3D electromagnetic models of RF structures, interconnects, and packaging (e.g. using HFSS, CST), alongside analytical models (transmission lines, S-parameters, noise, linearity, SI/PI), and correlate predictions with measured data
• Measurement & characterisation:
  Design and execute calibrated RF measurements (VNA SOLT/TRL, de-embedding, time- and frequency-domain analysis) using >50 GHz instrumentation
• Electro-optic integration:
  Co-design electronic interfaces for integrated photonic switches and transceivers, working closely with photonics and systems teams
• Prototype bring-up & debugging:
  Support schematic and PCB reviews, lab debugging, and performance optimisation
• Data analysis & automation:
  Use Python or MATLAB for data analysis, modelling, and lab automation
• Documentation & communication:
  Clearly document results and communicate insights across multidisciplinary teams

• PhD in Electrical/Electronic Engineering, Physics, Photonics, or a closely related field.
• Deep understanding of electromagnetics, RF/microwave engineering, and high-frequency circuit theory.
• Experience with 3D electromagnetic simulation tools (e.g. HFSS, CST, or similar full-wave solvers)
• Strong applied mathematics background (linear algebra, signal processing, numerical methods, optimisation).
• Hands-on experience with RF measurement techniques and instrumentation (VNAs, oscilloscopes, spectrum analysers, BERTs)
• Programming skills for modelling and data analysis (Python, MATLAB, or similar)
• Ability to apply theory to real systems and extract insight from experimental data Clear communication and effective collaboration in multidisciplinary teams.
• Signal integrity / power integrity for high-speed interconnects
• Silicon photonics, co-packaged optics, or optical communications
• Strong experimental expertise (calibration, de-embedding, fixture design, noise/linearity/BER measurement)
• PCB design and EDA tools (e.g. Cadence, PADS)
• Exposure to FPGA development (Verilog/VHDL)
• Thermal considerations in high-density electronic systems
• Publications in relevant journals or conferences