What we do
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. We work remotely, and meet physically once a month for planning, brainstorming and shared meals.
Why we need you
Since you would be an early member of our team, you’ll take co-ownership of our core library. It’s a set of tools allowing developers of Quantum Computers and other Quantum technologies to perform their daily tasks of characterizing, calibrating and monitoring their quantum devices, while giving direct insights on how these devices operate. Most of our software is written in Python. The broad portfolio of our offerings is built on the foundation of a high-fidelity differentiable numerical simulator of sophisticated quantum devices and precision microwave electronics, which works in close coordination with a variety of optimization processes. We are not only expanding our suite of classical and ML-assisted optimization algorithms but also scaling our simulator to efficiently utilize high-performance CPU and GPU clusters.
What we need for your application
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:
- What is something you accomplished which you are really proud of?
- What technological developments are you excited about?
- What are the things that you have taught yourself?
- What is something you would like to learn or improve in the near future?
Qruise creates algorithmic and ML tools to accelerate the development of quantum computers and other quantum technologies. We're an international and diverse team, with most of us located in Germany.