Senior Quantum Engineer
Quantum Motion TechnologiesAbout The Role and Team
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, 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 including Bosch Ventures, Porsche SE, Sony Innovation Fund, Oxford Sciences Innovations, INKEF Capital and Octopus Ventures, and we have so far raised over £62 million in equity and grant funding.
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.
Our team of 100+ is based in Oxford and London, with a centre of mass in our Islington lab.
Our Team
The Intelligent Automation Team develops the software that controls, and optimises our Quantum Processing Units. Working in close partnership with the Quantum Hardware Team, this group works to enable our processors to perform at their limits. Their work transforms raw quantum hardware into a usable platform by leveraging traditional software engineering alongside machine learning and other optimisation techniques. Together, these teams form the engine room of Quantum Motion’s technology, bridging physics, engineering, and computation to unlock the next generation of quantum capability.
As a member of our evolving scale-up, you’ll help shape the next stage of quantum computing. We’re still a small team, which means your expertise will directly influence our technology, our culture, and our trajectory, while giving you room to grow as we scale.
Functions of the Role
Work with experimental experts to benchmark and optimise quantum processors based on spins in silicon quantum dots
Develop automated calibration routines for long term maintenance of QPU performance
Devise measurement and analysis roadmaps to test and optimise quantum operations
Experience - Essentials
PhD degree in physics, chemistry, or engineering
Proven record of writing high-quality code for control of quantum systems
Experience with use of optimisation techniques such as Bayesian Optimisation, Genetic algorithms etc in an experimental setting
An understanding of approaches to benchmarking of quantum devices
Proven record of experience in characterisation and control of quantum systems
Ability to independently design and carry out complex experiments; perform data analysis and prepare technical reports and presentations
Ability to work in a team
Excellent verbal and written communication skills
Experience - Desirable
Strong experience with machine learning techniques and their application to complex physical systems.
Demonstrated capability in benchmarking quantum systems using methods such as randomised benchmarking and gate-set tomography.
Proven team leadership and people-management skills, including supervising technical staff and guiding cross-functional research efforts.
Experience mentoring junior researchers and effectively supervising research students to support their academic and professional development.
Skilled in the simulation of spin-based quantum systems and the dynamical characterisation of silicon-based nanoelectronic devices.
Hands-on experience operating and troubleshooting deep cryogenic measurement systems.
Experience with the dynamical characterisation silicon-based nanoelectronic devices
Ability to supervise research students
The Application Process:
30-Minute Talent Team Call - An introductory conversation with the talent team to discuss background, motivation, and role fit.
30-Minute Technical Screening with the Hiring Manager - A focused discussion assessing technical skills, relevant experience, and approach to problem-solving.
Onsite Visit:
Lab Tour - Opportunity to see the facilities, meet the team, and gain insight into ongoing projects.
Presentation & Q&A (60 minutes) - Candidate delivers a technical presentation followed by an interactive question session.
One-to-One Meetings with Key Stakeholders (30 minutes each) – Individual discussions with core team members and collaborators.
Final Meeting with CEO/Founders (30 minutes)
A high-level conversation to assess alignment with company vision, culture, and long-term goals.
Benefits
Be part of a creative, world-leading team
Competitive salary and share options scheme
Contributory pension scheme
Life Assurance
Cycle-to-work Scheme
Flexible working
Central London location