Quantum Engineer - QEC Hardware
Oxford Quantum Circuits
| Company | Oxford Quantum Circuits |
| Category | Uncategorised |
| Location | Reading |
| Remote | Hybrid |
| Employment | Full-time |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 30 Jul 2026 |
| Last verified | 31 Jul 2026 |
| Source | Employer career page (workable) |
Description
Quantum Engineer – QEC Hardware At OQC, we aren’t just theorising about the future; we’re building it. Born from a philosophy of bold innovation, we’ve successfully transitioned quantum computing from an academic ambition into a commercial reality. The most exciting thing is that we’re just getting started. The Purpose Help develop the hardware capabilities required to make quantum error correction practical at the quantum processing unit level. As a Quantum Engineer within our QEC Hardware Development team, you’ll develop, demonstrate and characterise the components and subroutines needed for quantum error correction. This includes exploring novel qubits, gates and couplers, alongside readout, reset and initialisation methods and the integration of inner error-detection and outer error-correction layers. The Role Working within OQC’s Quantum Science & Exploratory Research team, you’ll combine hands-on experimental physics, scientific software development and quantum processor characterisation. You’ll take ownership of research and development projects across their full lifecycle—from designing experiments and preparing prototype devices through to calibration, data analysis and reporting. Working with engineers and scientists across OQC, you’ll help bring up novel devices, investigate unconventional operating regimes and build a system-level understanding of the control, cryogenic and signal-delivery infrastructure that supports quantum error correction. This role may involve occasional domestic and international travel for scientific conferences and collaborative research programmes. What You’ll Be Working On Develop experimental measurement methods to characterise quantum error-correction components and subroutines. Bring up, calibrate and evaluate novel research devices, often operating prototype hardware in unconventional or previously unexplored regimes. Develop and maintain experimental-control software, measurement tools, data-analysis workflows and scientific visualisations. Build a system-level understanding of the control electronics, cryogenic infrastructure and signal-delivery stack supporting QEC hardware. Prepare and install proof-of-concept QPU devices, working with laboratory teams to coordinate packaging, assembly, fridge scheduling and experimental readiness. Own research projects from experimental design and implementation through to scientific analysis, documentation and recommendations for future development. Share findings with technical teams, contribute to the QSER roadmap and support the development of junior Quantum Engineers through mentoring and knowledge-sharing. What We’re Looking For A Master’s degree in Physics, Mathematics, Computer Science, Electrical or Electronic Engineering, or a related discipline. A PhD is not required. Experience delivering scientific research or engineering projects from initial design through to experimentation, analysis and reporting. Software development or engineering experience gained in an industry, placement or research setting beyond purely personal or coursework-based use. Strong Python skills, or experience with a comparable language, for experimental automation, data analysis and scientific tooling. Hands-on experience with experimental physics systems such as microwave, optical, cold-atom or vacuum setups, or strong evidence of practical electronics and mechanical aptitude. The ability to analyse and distil complex scientific information and communicate clear findings and recommendations. Confidence working independently and taking ownership of end-to-end research and development within low technology-readiness environments. Creativity, curiosity and comfort solving problems involving prototype hardware with unfamiliar behaviours or capabilities. A collaborative approach and the ability to work effectively across scientific, software, control, laboratory and enginee
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