Senior Quantum Engineer
Confirmed on the employer's own hiring board on Oct 15, 2026. First seen by Alion on May 6, 2026. Sydney Quantum Academy scores B on the Alion truth index.
About The Role and Team
The Intelligent AutomationTeam 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
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