Role overview

Qualifications

3-5 years of experience in backend/server-side development, preferably in Python
Experience building cloud-native tech stacks, preferably for AI/ML applications
Experience with Docker, microservices and AWS
Proficiency with agentic AI development tools (e.g., Claude, Codex, OpenCode) and related workflows

Responsibilities

Co-ownership of the core library of QruiseOS and its integration with control electronics APIs and the QruiseML product
Develop and maintain Python-based software for a high-fidelity differentiable quantum-device simulator and optimize numerical modeling and ODE integration, scaling to CPU/GPU clusters
Build and operate cloud-native backend services and microservices for hybrid (on-premise + cloud) deployment using Docker and AWS
Collaborate in a fully remote team with strong communication, knowledge sharing, and regular planning across EU time zones

Key facts

Remote from: Anywhere
Full time
Mid-level (2-5 years)
Back-End Developer
English

Hard skills

Industrial Control Systems Python (Programming Language) Custom Attributes Cloud-Native Applications AWS Cloud Services Microservices Git (Version Control System) Docker (Software) High Performance Computing Hybrid Cloud Computing Engineering Optimization Microwave Engineering Computational Modeling Data Lakes Data Sharing Self-Directed Learning

Other skills

Communication
Virtual Collaboration
Teamwork

About the company

Qruise

Qruise develops software that helps scientists and researchers use Machine Learning tools in their day-to-day scientific workflows without having to worry about what's under the hood. ML has revolutionised how science is being done and taking advantage of this new numerical toolset should not require having a full time ML scientist on the team to design, develop and deploy systems. Qruise is developing ML for Science as a productised toolset making ML driven discovery accessible to all. Our first offerings address the growing pains of controlling current generation noisy quantum computers (NISQ devices) and provide improvements in operational fidelities through the use of ML & Quantum Optimal Control.

Company details

Company typeStartup

Company size11 - 50

Links

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Job description

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 every 2 months for planning, brainstorming and shared meals.

Why we need you

You are expected to take co-ownership of the core library of our QruiseOS product and its integration with control electronics APIs and our QruiseML product. QruiseOS is an integrated environment 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.

Your profile

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, microservices and AWS is preferred.
We make extensive use of modern agentic AI based development processes (claude code / codex / opencode) and expect you to be comfortable and proficient in using these tools.
Experience in accelerated computing on CPU/GPU clusters is an added bonus.
Experience in developing ML workflows and data lakes 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).

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?

Perks & benefits

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