Senior Quantum Solutions Engineer - ML

🏢 PASQAL
📍 Saudi ArabiaFull-timeOn-site
📅 Posted: 1w ago🔄 Updated: 1w ago
CV%
✨ AI Summary
Pasqal is seeking a Senior Quantum Solutions Engineer with a focus on Machine Learning. This role involves adapting and implementing quantum-enhanced ML algorithms for client use cases, building and maintaining ML pipelines, and integrating solutions with quantum execution workflows and simulation platforms. The engineer will collaborate with R&D and hardware teams to deploy solutions on Pasqal's QPUs and work with domain experts to address real-world business problems. The position requires approximately 5 years of professional experience in machine learning, with a background or interest in quantum computing and physics being advantageous. The company emphasizes diversity and inclusion.
Required Skills
Finance, Legal & Governance
Valuation
Education & Training
Training Delivery
Soft Skills & Professional Competencies
Execution
Other
Data ingestionSimulation platformspreprocessingPost-processing
Information Technology
Data Pipelines
Engineering, Construction & Trades
Tooling
🎁 Benefits & Perks
Permanent contract, A dynamic and close-knit international team, A key role in a growing start-up, Free time to train and go to conferences/meetups
Requirements
The candidate will adapt and implement Pasqal's existing quantum(-enhanced) graph ML algorithms, build and maintain robust ML pipelines, and collaborate with R&D and hardware engineers to deliver solutions on real-world business problems. A minimum of 5 years of professional experience in machine learning is required, with an interest in quantum computing being a plus. The role involves producing maintainable code, documentation, and handover material.
Description
About PasqalPasqal designs and develops Quantum Processing Units (QPUs) and associated software tools.Our innovative technology enables us to address use cases that are currently beyond the reach of the most powerful supercomputers; these cases can concern industrial application challenges as well as fundamental science needs.In addition to the exceptional computing power they provide, QPUs are highly energy efficient and will contribute to a significant reduction in the carbon footprint of the HPC industry.Job DescriptionWe are looking for a candidate to join our Quantum Applications department delivery team to build anddeliver client-facing solutions based on Pasqal's quantum ML algorithm portfolio.his is an application-driven engineering role focused on adapting, integrating, and deploying existing approaches to real-world partner and client use cases. The goal is to turn existing methods into reliable client deliverables; contributions to internal method improvement are welcome when they directly support project outcomes.As a Seniormachine Learning Engineer With Around 5 Years Of Professional Experience At Least With Interest In Quantum Computing (physics Background Is a Plus, Not a Requirement), You Will:Adapt and implement Pasqal's existing quantum(-enhanced) graph ML algorithms to fit client datasets, constraints, and performance targets.Build and maintain robust ML pipelines (data ingestion, preprocessing, training, evaluation, post-processing), including integration with quantum execution workflows, emulation/simulation platforms, and internal tooling.Establish baselines, metrics, and acceptance criteria with stakeholders, and drive solution iterations until delivery requirements are met.Collaborate closely with internal R&D teams to transfer methods from research to application, clarify assumptions/limits, and select the best approach from the portfolio for each use case.Work with hardware and platform engineers to run solutions on Pasqal QPUs, taking into account hardware constraints, execution constraints, and reliability.Work closely with domain experts from high profile enterprises and partners to deliver solutions on real-world business problemsProduce maintainable code, documentation, and handover material so delivered solutions can be reused and supported.Keeping a regular scientific and technological watch.As a Senior Machine Learning Engineer With Around 5 Years Of Professional Experience At Least With Interest In Quantum Computing (physics Background Is a Plus, Not a Requirement), You Will:Adapt and implement Pasqal's existing quantum(-enhanced) graph ML algorithms to fit client datasets, constraints, and performance targets.Build and maintain robust ML pipelines (data ingestion, preprocessing, training, evaluation, post-processing), including integration with quantum execution workflows, emulation/simulation platforms, and internal tooling.Establish baselines, metrics, and acceptance criteria with stakeholders, and drive solution iterations until delivery requirements are met.Collaborate closely with internal R&D teams to transfer methods from research to application, clarify assumptions/limits, and select the best approach from the portfolio for each use case.Work with hardware and platform engineers to run solutions on Pasqal QPUs, taking into account hardware constraints, execution constraints, and reliability.Work closely with domain experts from high profile enterprises and partners to deliver solutions on real-world business problemsProduce maintainable code, documentation, and handover material so delivered solutions can be reused and supported.Keeping a regular scientific and technological watch.What We OfferType of contract : Permanent contractA dynamic and close-knit international teamA key role in a growing start-upFree time to train and go to conferences/meetupsRecruitment processAn interview with our talent acquisition of 30A meeting with the team and technical test of 60An exchange with Shaheen Engineering managerA final interview with Louis-Paul, the VPAn offer !PASQAL is an equal opportunity employer. We are committed to creating a diverse and inclusive workplace, as inclusion and diversity are essential to achieving our mission. We encourage applications from all qualified candidates, regardless of gender, ethnicity, age, religion or sexual orientation.
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🎯 Overalli74%
⚡ Skillsi85%
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Ontology Match: 85.0
Matched:✓ Requirements Matching✓ Ontology Skills Mapping
📜 Eligibilityi49%
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Local: 19600%
🏗️ Career Fiti91%
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Seniority: 91.0
📋 Requirementsi67%
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Domain: 67.0
🔥 Motivationi78%
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Title Fit: 78.00