Senior Quantum Solutions Engineer, Machine Learning at Pasqal (KAUST, Saudi Arabia)
Job Description
Pasqal is hiring a Senior Quantum Solutions Engineer in machine learning, based at King Abdullah University of Science and Technology (KAUST) in Thuwal, Saudi Arabia, to turn Pasqal’s quantum graph machine-learning algorithms into reliable solutions for real client problems.
At a glance
- Role: Senior Quantum Solutions Engineer, ML
- Where: KAUST, Thuwal, Saudi Arabia
- Contract: permanent
- Experience: around 5+ years as a machine learning engineer; physics background a plus, not required
- Apply: open until filled (re-checked 11 October 2026)
About the quantum machine learning role
- Adapt and implement Pasqal’s quantum and quantum-enhanced graph ML algorithms for client datasets, constraints and performance targets
- Build and maintain ML pipelines (ingestion, preprocessing, training, evaluation, post-processing) that connect to quantum execution, emulators and internal tools
- Agree baselines, metrics and acceptance criteria with stakeholders and iterate until delivery requirements are met
- Work with R&D to move methods from research to application and pick the best approach for each use case
- Run solutions on Pasqal QPUs with hardware and platform engineers, respecting execution constraints
- Deliver maintainable code, documentation and handover material, and keep up with the field
The posting describes a staged hiring process: a short call with talent acquisition, a meeting with the team including a 60-minute technical test, a conversation with the engineering manager, and a final interview with a vice-president.
What Pasqal is looking for
- Around five or more years of professional experience as a machine learning engineer
- An interest in quantum computing; a physics background is a plus but not a requirement
- Experience building robust, production-quality ML pipelines
- Comfort working with enterprise clients and domain experts to agree targets and deliver solutions
Nice to have
- A background in physics
Pay and location
Pasqal’s posting does not state a salary. The role is a permanent contract based at KAUST in Thuwal, Saudi Arabia.
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 11 October 2026. Check the posting for location and work-authorisation details before you apply.
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Hiring institution: Pasqal
Official advertisement: careers.pasqal.com
How to prepare for this application
- Graph ML: revise graph neural networks and graph kernels, and when each works best.
- Why neutral atoms suit graphs: read how atom arrangements and Rydberg interactions can encode graph problems on Pasqal hardware.
- Honest baselines: always prepare a strong classical baseline; interviewers will ask how you would prove a quantum method adds value.
- Delivery: bring an example of an ML project you took from client data to accepted deliverable.
- Technical test: the process includes a 60-minute test; practise writing clean pipeline code under time pressure.
About Pasqal
Pasqal, founded in France in 2019, designs and develops quantum processing units (QPUs) based on neutral atoms, together with the software tools to use them. It targets industrial and scientific problems beyond the reach of today's supercomputers and highlights how energy-efficient QPUs are compared with conventional high-performance computing. It has teams in France, the UK, the Netherlands, Germany, Canada and Saudi Arabia.
