About The Role and Team
Quantum Motion is a fast-growing quantum computing scale-up based in London. 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. We have recently moved into a new office in Islington with state of the art cryogenic facilities and have an outstanding interdisciplinary team spanning quantum physics to IC design.
This role will suit an experienced Hardware Developer who’s eager to contribute to next generation, large-scale quantum computing systems by playing a critical role in the hybridisation of silicon-based quantum processors and cryogenic electronics.
As a Staff Research Hardware Engineer, you will lead the design and handling of experiments for 3D hybrid and heterogeneous integration schemes, such as flip-chip, multi-die bonding of various technology chiplets. You will do so via thorough investigation of thermals and materials, design of test vehicles, monitoring fabrication, and performing device characterisation and data analyses. You are responsible for providing data-driven advice for improvement across the development pipeline and up the system stack. You will further advance this development by demonstrating desired performance, as well as improved yield and cost benefits for system-in-package products.
The role equally requires independence and collaboration. You will interact cross-functionally, both internally and externally, with engineers engaged in process development, integration, design, validation, and quantum hardware R&D.
You will function as a key technical stakeholder for integrated quantum systems by ensuring design and fabrication across chips are aligned with 3D architecture development.
This role requires initiative and adaptability to tasks at hand in a fast-paced scale-up environment.
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 60+ is based in Oxford and London, with a centre of mass in our Islington lab and office.
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 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.