Senior Full-Stack Engineer

Join Qutwo - Europe's private Quantum AI Lab, on our quest to bridge the gap between the classical and the quantum world. We partner with the most advanced and forward-thinking customers, solving fundamental real-world problems, side by side. The best scientists and engineers in the world are drawn to one thing: a problem worthy of their ability. At Qutwo, we have one. We are a European AI lab for the quantum era, co-founded by pioneers behind IQM and Silo AI, with a team spanning MIT, UC Berkeley, Cambridge, and Carnegie Mellon, and backed by the founders of Skype, Hugging Face, Quantinuum, Supercell and many more. We work at the intersection of quantum computing, AI, optimization, and simulation — where the answers do not yet exist and the work genuinely matters. We are looking for Senior Full-Stack Engineers who can take machine learning from research code to a secure, running product — and who are comfortable working across the whole system rather than one layer of it. Our product combines ML pipelines for deep neural network compression with small, security-critical SaaS services. That means one week you might be making a distributed training and compression pipeline reproducible and cost-efficient, and the next you might be designing an API, hardening a deployment, or building the UI that makes the whole thing usable. We are not looking for someone who has used every tool in our stack. We are looking for engineers with enough architectural judgement and breadth to decide what should be built and why and enough fluency to review, debug, and take responsibility for the result. Role Description Productizing ML pipelines for DNN compression: turning experimental training, compression, and evaluation workflows into pipelines that are reproducible, observable, and cost-efficient to run continuously. Designing and implementing backend services: Small, well-bounded services built to a high security standard from day one—primarily leveraging Python, but with room to evaluate and introduce the right tools for the job. Building the frontends that expose our pipelines and services to users. Owning deployment and operations of what you build: containers, Kubernetes, CI/CD, observability, and the security posture around it all. Making architectural decisions with the team and writing them down clearly enough that both your colleagues and our coding agents can act on them.

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