Senior Quantum Algorithm Developer, Quantum Graph Machine Learning at Pasqal (Massy, France)

Job Description

Pasqal is hiring a Senior Quantum Algorithm Developer for its Quantum Graph Machine Learning (QGML) team, a group of five building machine-learning models that run partly on classical hardware and partly on Pasqal’s neutral-atom quantum processors.

At a glance

• Position: Senior Quantum Algorithm Developer, Quantum Graph Machine Learning
• Where: Massy, near Paris, France (hybrid)
• Pay: Pasqal does not state a salary in this posting
• Type: Full time, permanent
• Apply by: open until filled; re-check before applying
• Apply: open until filled (re-checked 16 October 2026)

About the quantum graph machine learning role at Pasqal

• Design quantum-enhanced machine-learning models that run on classical hardware and on Pasqal’s neutral-atom quantum processing units
• Own components of the classical machine-learning pipeline that surround the quantum model, from data handling to evaluation
• Co-design algorithms with the hardware teams so that what you propose can actually be run on the machines Pasqal builds
• Mentor junior members of the Quantum Graph Machine Learning team and help set its technical direction

The posting describes a small team, so the work spans research and the engineering around it: the classical parts of the pipeline are yours as much as the quantum ones. The posting does not give a closing date, so the role stays listed until it is filled. Re-check the official posting before you apply.

What Pasqal is looking for

• Five or more years of relevant experience in applied research, quantum algorithms or machine-learning engineering; the posting counts PhD experience towards this
• A working knowledge of quantum algorithms and of how they are limited by real hardware
• Solid machine-learning practice, including building and evaluating models rather than only reading about them
• Strong scientific programming, since the classical pipeline is part of the job

Nice to have

• Graph machine learning in particular: graph neural networks, kernels on graphs, and the problems they are used for
• Experience with neutral-atom platforms or other analogue quantum computing approaches
• A record of publications or of shipped research code
• Experience guiding junior colleagues

Pay and location

Pasqal does not state a salary in this posting

How to apply

Apply through the official Pasqal job posting. Pasqal’s posting does not give a closing date, so the role is open until filled; ResearchJobs.in will re-check this listing on 16 October 2026. Check the posting for location and work-authorisation details before you apply.

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