About The Role and Team
Our early career programme is a unique opportunity to kickstart your profession in industrial quantum engineering. This is an entry-level role with one-year of training for those who want to become a quantum engineer.
Successful candidates will join a fast-paced scale-up, be trained by industry leaders, and build experience tackling hands-on engineering challenges critical to developing large-scale, silicon-based quantum computers.
We encourage applicants who are interested in beginning a career in quantum engineering and have demonstrated experimental experience and programming knowledge.
The position will particularly suit a recent Masters graduate (e.g. MEng, MPhys or MSc) in Physics, Electrical Engineering, or a related discipline, who would like to start a career in developing quantum computing hardware.
Our Team
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 new Islington lab.
Functions of the Role
You will work closely with and rotate between teams such as Quantum Hardware, IC Validation, and Intelligent Automation. For each rotation, you will be designated a Technical Supervisor. You will also have a dedicated Programme Supervisor throughout the year for mentorship and coaching.
During the three rotations, you will contribute to innovative research by working on lab-based projects, such as:
- The design, validation, and measurement of quantum devices based on silicon (CMOS) technology.
- The design and test of integrated circuits operating at deep-cryogenic temperatures (4 Kelvin and below).
- The characterisation of superconducting support electronics.
- The experimental test and development of software for efficient data acquisition and analysis, including software that interfaces with test hardware.
The programme also entails an initial crash-course in applied quantum mechanics, quantum dots, CMOS fabrication, and state-of-the-art challenges via lectures, tutorials, and practicals.
EEO Statement
Quantum Motion is committed to providing equal employment opportunity and does not discriminate based on age, sex, sexual orientation, gender identity, race, colour, religion, disability status, marital status, pregnancy, gender reassignment, religion or any other protected characteristics covered by the Equality Act 2010.
About us
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.