Oxford Ionics builds trapped-ion quantum systems as part of the IonQ ecosystem. The stack reveals a hardware-first operation: simulation tools (Ansys, COMSOL, LTspice, MATLAB) dominate, paired with Python for control logic and a modern web layer (React, Svelte, TypeScript) for scientist-facing tools. Hiring is heavily skewed toward engineering (18 of 24 roles, mostly senior and mid-level), with active projects spanning optics, laser systems, QPU prototypes, and commissioning workflows — indicating they're scaling from R&D toward manufacturing and customer delivery.
Oxford Ionics develops trapped-ion quantum computers using IonQ's technology platform. The company operates across hardware design, fabrication, system integration, and customer support, with sites in the UK, US, and South Korea. Near-term focus spans optics and laser subsystems, QPU prototype delivery, commissioning acceleration, and preventive maintenance planning. Pain points cluster around build complexity, uptime maximization, prototype-to-production velocity, and supply-chain friction — typical of a deeptech hardware company scaling from lab to production.
Simulation (Ansys, COMSOL, LTspice, MATLAB), control software (Python, Rust, Julia), web frontends (React, Svelte, TypeScript), infrastructure (Terraform, Ansible, GitHub Actions, Grafana, Loki), and IonQ platform integration.
Kidlington, Oxford, Oxfordshire, United Kingdom. Active hiring also in the United States and South Korea.
Next-generation trapped-ion quantum computers, including optics/laser subsystems, QPU prototypes, commissioning workflows, preventive maintenance planning, and front-end tools for scientists and systems teams.
Other companies in the same industry, closest in size