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. These tools are developed for hybrid (on-premise + cloud-native) deployment from the ground up, so we need software engineers with a very broad background.

• At least 3-5 years of experience in backend/server-side development, preferably in Python is required.
• Experience in building cloud native tech stacks, preferably for AI/ML applications is preferred.
• Experience in Docker & Kubernetes on the AWS platform is preferred.
• Experience in accelerated computing on CPU/GPU clusters is an added bonus.
• Experience in developing ML workflows and datalakes is useful but not required.
• A good intuition about automatic differentiation, optimization, numerical modelling and integration (esp. ODEs) is useful but not required.
• Since we are 100% remote, strong communication skills and regular knowledge sharing are a must.
• You must already reside or be willing to relocate near EU time-zones (CET±1).

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?

• 30 days of paid vacation a year
• Remote work by default
• Choose your own work computer
• Budget for home office equipment
• Flexible working hours
• Travel / Co-working space cost reimbursement
• Regular company-paid team-events