Electromagnetic Simulation Engineer

Quantum is now, and it's built here. Oxford Ionics, now part of IonQ, is pioneering the next generation of quantum computing. Using our world-leading trapped-ion technology, we’re building the most powerful, accurate and reliable quantum systems to tackle problems that today’s supercomputers cannot solve. Joining Oxford Ionics means becoming part of a global IonQ team that is transforming the future of quantum technology - faster, at scale, and with real world impact.

What to expect:

We’re looking for an experienced Electromagnetic Simulation Engineer to lead the development of our near field simulation and optimisation capability within the Processor design team. This is a highly technical role, central to defining how we design and scale our ion trap architectures, the core of our quantum computing technology. You’ll be pioneering new capabilities within a fast growing engineering group, working at the interface of quantum computing, advanced RF engineering and materials science. Collaborating closely with our quantum processor and fabrication teams, you’ll develop accurate, automated electromagnetic simulation workflows that directly inform the design and performance of our Quantum Processing Units (QPUs).

What you’ll be responsible for:

You will take ownership of developing and applying advanced electromagnetic simulations to guide ion trap design and manufacturing. Your work will translate theoretical models into scalable, manufacturable QPU architectures. This is a hands on, system level role, combining deep simulation expertise with practical design integration.

Responsibilities include:

Simulation and modelling: Develop and refine 3D near-field electromagnetic models (RF frequencies) using tools such as Ansys or COMSOL, incorporating realistic materials, geometries and boundary conditions. RF system design: Model and analyse RF coupling and system level behaviour using tools such as LTspice or equivalent circuit simulators. Workflow automation: Build automated simulation and optimisation pipelines in Python, Julia, or MATLAB to improve design speed, accuracy and repeatability. Design integration: Work closely with physicists, engineers and fabrication specialists to ensure simulation results align with design constraints and manufacturing processes. Capability development: Help establish and refine our in-house electromagnetic modelling capability, shaping best practices and simulation standards for future designs. You will need extensive experience in electromagnetic simulation and a strong understanding of RF near field behaviour within complex, multi physics systems. You’ll bring both technical depth and a hands on, problem solving approach to enable precision design at the frontier of quantum hardware. Proven experience (3+ years) using Ansys, COMSOL, or equivalent FEM tools for time varying electromagnetic field simulation. Strong background in RF system modelling, including near field analysis, parasitic coupling, and circuit simulation. Proficiency in Python, MATLAB, or Julia for automation, data analysis and numerical optimisation. MSc or PhD in Physics, Electrical Engineering, or a closely related field. If you’re excited by the challenge of pushing the boundaries of electromagnetic simulation and want to help design the hardware powering the next generation of quantum computers, we’d love to hear from you. Be part of a team that’s shaping the future of quantum. We offer more than just a role, you’ll join a world class community of scientists, engineers and innovators working to unlock the full potential of quantum computing. We offer a range of benefits, including opportunities to further your career alongside industry leaders, a competitive salary with IonQ stock options, an annual performance bonus, generous annual leave, flexible hybrid working, private medical and dental insurance for you and your family, and much more. Join us and be part of the future of quantum computing. We’re proud to be an equal opportunity employer and welcome applicants from all backgrounds.