وظيفة مهندس حلول كمومية أول - تعلم آلة لدى Pasqal بمنطقة مكة المكرمة
Senior Quantum Solutions Engineer - ML
🏢 Pasqal
تفاصيل الوظيفة
شركة Pasqal، الرائدة في تصميم وتطوير وحدات المعالجة الكمومية (QPUs) وأدوات البرمجيات المرتبطة بها، تعلن عن توفر وظيفة Senior Quantum Solutions Engineer - ML في منطقة مكة المكرمة.
نبذة عن الوظيفة
تبحث Pasqal عن مرشح للانضمام إلى فريق تسليم قسم التطبيقات الكمومية، بهدف بناء وتقديم حلول موجهة للعملاء تعتمد على محفظة خوارزميات التعلم الآلي الكمومي الخاصة بالشركة. هذا الدور هندسي تطبيقي يركز على تكييف ودمج ونشر الأساليب الحالية لحالات استخدام واقعية مع شركاء وعملاء.
المهام والمسؤوليات
- تكييف وتنفيذ خوارزميات تعلم الآلة الكمومية المعززة (graph ML) الحالية لـ Pasqal لتتناسب مع بيانات العملاء وقيودهم وأهداف الأداء.
- بناء وصيانة خطوط أنابيب تعلم آلي قوية (استيراد البيانات، المعالجة المسبقة، التدريب، التقييم، المعالجة اللاحقة) بما في ذلك التكامل مع سير العمل الكمومي ومنصات المحاكاة والأدوات الداخلية.
- وضع خطوط أساس ومقاييس ومعايير قبول مع أصحاب المصلحة، وقيادة تكرارات الحلول حتى تلبية متطلبات التسليم.
- التعاون الوثيق مع فرق البحث والتطوير الداخلية لنقل الأساليب من البحث إلى التطبيق، وتوضيح الافتراضات والقيود، واختيار أفضل نهج من المحفظة لكل حالة استخدام.
- العمل مع مهندسي الأجهزة والمنصات لتشغيل الحلول على وحدات المعالجة الكمومية (QPUs) الخاصة بـ Pasqal، مع مراعاة قيود الأجهزة وموثوقية التنفيذ.
- التعاون الوثيق مع خبراء المجال من الشركات البارزة والشركاء لتقديم حلول لمشاكل أعمال واقعية.
- إنتاج كود قابل للصيانة ووثائق ومواد تسليم لضمان إمكانية إعادة استخدام الحلول المدعومة.
- المواظبة على المراقبة العلمية والتكنولوجية المنتظمة.
الشروط والمتطلبات
- خبرة مهنية لا تقل عن 5 سنوات كمهندس تعلم آلة.
- اهتمام قوي بالحوسبة الكمومية (خلفية في الفيزياء ميزة إضافية وليست شرطاً).
- خبرة في بناء وصيانة خطوط أنابيب تعلم الآلة والتكامل مع سير العمل الكمومي.
- القدرة على العمل مع فرق متعددة التخصصات ونقل الأساليب من البحث إلى التطبيق.
المزايا
- عقد دائم (Permanent contract).
- فريق دولي ديناميكي ومتماسك.
- دور رئيسي في شركة ناشئة متنامية.
- وقت حر للتدريب وحضور المؤتمرات واللقاءات.
عرض النص الأصلي للإعلان
About Pasqal
Pasqal 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 Description
We are looking for a candidate to join our Quantum Applications department delivery team to build and deliver 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 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:
Joining Pasqal will give you the opportunity to take an active part in the rapid development of a DeepTech scale-up at the forefront of the second quantum revolution.
You will be directly involved in one of the biggest challenges shaping the technological landscape of the 21st century. You will be working as part of a team of top-level scientists and engineers, in direct competition with the world's biggest players.
Pasqal 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 Description
We are looking for a candidate to join our Quantum Applications department delivery team to build and deliver 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 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 problems
- Produce maintainable code, documentation, and handover material so delivered solutions can be reused and supported.
- Keeping a regular scientific and technological watch.
- 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 problems
- Produce maintainable code, documentation, and handover material so delivered solutions can be reused and supported.
- Keeping a regular scientific and technological watch.
- Type of contract : 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
- An interview with our talent acquisition of 30'
- A meeting with the team and technical test of 60'
- An exchange with Shaheen Engineering manager
- A final interview with Louis-Paul, the VP
- An offer !
Joining Pasqal will give you the opportunity to take an active part in the rapid development of a DeepTech scale-up at the forefront of the second quantum revolution.
You will be directly involved in one of the biggest challenges shaping the technological landscape of the 21st century. You will be working as part of a team of top-level scientists and engineers, in direct competition with the world's biggest players.
المصدر: LinkedIn - أُضيفت للموقع في 14 أغسطس 2026