Senior Quantum Engineer at Quantum Motion Technologies

, Maryland, United States -

Full Time

Start Date

Immediate

Expiry Date

05 Aug, 26

Salary

0.0

Posted On

07 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Quantum Processor Optimization, Automated Calibration, Spin Qubits, High-Frequency Electronics, Quantum Information Systems, Python, Matlab, Data Analysis, Technical Reporting, Machine Learning, Randomised Benchmarking, Gate-Set Tomography, People Management, Cryogenic Measurement Systems, Simulation of Spin-Based Systems, Nanoelectronic Device Characterisation

Industry

Computer Hardware

Description

About The Role and 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. Our Team Quantum Motion is a fast-growing quantum computing scale-up headquartered in London, with additional labs and offices in Spain, Australia and the US, founded by internationally renowned researchers from University College London 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. This role forms part of our investment in state-of-the art facilities in Maryland, US. It reflects our commitment to driving innovation and collaborating with some of the brightest minds in the quantum industry, and additionally taps into the strong semiconductor and cryogenic ecosystem. Our mission is global and this is a rare and exciting opportunity to join a team which is shaping the future of quantum computing. As part of our lean, high-impact and rapidly growing team, you will be working closely with our scientists, engineers and experts in a dynamic environment to make the site run smoothly and compliantly from day one, dedicated to contributing to the development of scalable quantum computers based on silicon technology. 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 track record of leadership in dynamical characterisation and control of spin qubits in solid-state systems Experience in defining research goals and leading teams toward successful technical outcomes Familiar with the use of high-frequency electronics Knowledge of quantum information systems and operations Ability to independently design and carry out complex experiments; perform data analysis and preparation of technical reports and presentations Knowledge of data acquisition software (Python, Matlab) Ability to lead and motivate a team Exceptional ability to communicate complex technical strategies to stakeholders, write grant applications, and author technical reports 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 Benefits Be part of a creative, world-leading team Competitive salary and share options scheme Region-specific benefits (e.g. Health Insurance) Choose your own laptop/kit Flexible working Located in Maryland College Park - a state-of-the-art quantum hub EEO Statement Quantum Motion is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, age, pregnancy, genetic information, or any other characteristic protected by applicable federal, state, or local laws. 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.

Responsibilities

The role involves benchmarking and optimizing quantum processors based on silicon quantum dots and developing automated calibration routines. You will also devise measurement and analysis roadmaps to enhance quantum operations and lead technical teams toward successful outcomes.