The capabilities of current generation quantum devices are still quite underwhelming. They are slow and error-prone; and scientists spend an enormous amount of time just optimizing their setups. We are gathering the brightest minds to solve this! Join us on our journey to become the world’s leading scientific machine learning company, starting with the control of quantum technology devices. We work remotely, and meet physically once a month for planning, brainstorming and shared meals.
As we build the tools to help scientists and engineers better understand their quantum devices, we need a team of experimental physicists adept at measurement, calibration and characterisation of superconducting quantum computers. This team implements various 1 and 2 Qubit characterisation experiments – both standard textbook techniques as well as more bespoke, tailored experiments – to expand the continuously growing library of characterisation experiments in QruiseOS. The team also works with our academic and industry partners to execute these experiments and analyse the data for the complete bring-up of real quantum computing hardware at various test-beds and partner sites throughout Europe. You will be working closely with software engineers, quantum scientists and electrical engineers in a vibrant, collaborative environment.
We are looking for folks that understand both the pains of experimentalists (spending days tuning up their system after every cool down) and the advantage that software & automation services can bring to this process. It is crucial that you have extensive experience in the bring-up of superconducting quantum computers, going from cool-down all the way up to fully calibrated 2 qubit gates. We need scientists who feel comfortable in speaking (and translating between) the languages spoken by theoretical physicists as well as experimentalists/engineers.
Required and Preferred qualifications:
Your CV is a good start. But, what we’d really like to see is that you have a proven track record of projects and work in the relevant field. So if you can send us a link to your GitHub, recent projects or real-world examples of what you have done so far, that is what really interests us. Before a possible interview, please think about the following:
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