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.

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.

• 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

• 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

• 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:

1. 30-Minute Talent Team Call - An introductory conversation with the talent team to discuss background, motivation, and role fit.

2. 30-Minute Technical Screening with the Hiring Manager - A focused discussion assessing technical skills, relevant experience, and approach to problem-solving.
   
   

3. 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.
  
  

1. Final Meeting with CEO/Founders (30 minutes)
   A high-level conversation to assess alignment with company vision, culture, and long-term goals.

• 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