Jobs / United Kingdom / Quantum Motion Technologies Limited

Quantum Motion Technologies Limited

Senior Electrical Characterisation Engineer

London, UK Posted 1 month ago

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  • Employer is on a government sponsor recordThis employer holds a UK sponsor licence (Skilled Worker, A rating).
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  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
Employer is on a government sponsor record
This employer holds a UK sponsor licence (Skilled Worker, A rating). Source: Register of licensed sponsors (UK Home Office).
Can’t check pay against the visa rules
No salary stated. UK Skilled Worker visa needs at least £41,700 a year (new-entrant (under 26, recent Student/Graduate visa) or STEM PhD: £33,400). Source: https://www.gov.uk/skilled-worker-visa/when-you-can-be-paid-less, rules effective 2025-07-22.

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About the role

Quantum Motion is a fast-growing quantum computing scale-up based in London founded by internationally renowned researchers from UCL and Oxford University with over 40 years’ experience in developing qubits and quantum computing architectures. Bringing together state-of-the-art cryogenic facilities and an outstanding interdisciplinary team, we are developing quantum processors based on industrial-grade silicon chips, with the potential to radically transform computing power in areas such as materials modelling, medicine, artificial intelligence and more. ]]> Since 2021 our team has been listed every year in the “Top 100 Startups worth watching”  in the EE Times  in 2021 and 2022, and our technology breakthroughs have been featured in  The Telegraph ,  BBC  and the  New Statesman . Our founders are internationally renowned researchers from UCL and Oxford University who have pioneered the development of qubits and quantum computing architectures. Our chairman is the co-founder of Cadence and Synopsys, the two leading companies in the area of Electronic Design Automation. We’re backed by a team of top-tier investors, and we have recently closed our  Series C funding of $160 million.   We bring together the brightest quantum engineers, integrated circuit (IC) engineers, quantum computing theoreticians and software engineers to create a unique, world-leading team, working together closely to maximise our combined expertise. Our collaborative and interdisciplinary culture is an ideal fit for anyone who thrives in a cutting-edge research and development environment focused on tackling big challenges and contributing to the development of scalable quantum computers based on silicon technology.   This is a rare and exciting opportunity to be an employee at a scale-up shaping the future of quantum computing. There are vast opportunities for professional growth and to make an impact within the company.  Our team of 100+ is based across London, Oxford, San Sebastián and Sydney, with our primary hub in Islington (London). We are looking for a  Senior Electrical Characterisation Engineer  to join our Process Integration team and play a key role in understanding, qualifying and improving the silicon devices at the heart of our quantum processors. You will sit at a fascinating intersection between semiconductor manufacturing and quantum hardware, working closely with foundries, process engineers and quantum engineers. You will use electrical characterisation and large-scale data analysis to understand manufacturing variability, identify the root causes of device behaviour, and feed those insights directly back into the semiconductor fabrication process. This is an opportunity to have a tangible impact on the yield, quality and scalability of quantum processors, working with some of the most advanced silicon technology being developed for quantum computing. ]]> • Drive electrical characterisation of fabricated silicon devices , developing and continuously improving high-throughput screening methods to assess key device parameters including threshold voltage, gate oxide reliability and channel mobility. • Turn electrical data into manufacturing insight , identifying patterns, variability and device failures and connecting them back to semiconductor process steps such as photolithography, etching, oxide growth, CMP and doping. • Develop automated measurement and test infrastructure , creating robust Python-based test routines and instrument-control workflows across room-temperature and, where appropriate, low-temperature wafer probing environments. • Analyse large-scale electrical datasets  using statistical process control, yield analysis and other data-driven techniques to monitor wafer uniformity, defect density and process drift. • Work di

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