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10 дней назад

Senior Quantum Solutions Engineer - ML

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
SA
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Quantum Solutions Engineer - ML (Quantum Computing/Machine Learning): Building and delivering client-facing quantum machine learning solutions by adapting Pasqal’s graph ML algorithms to real-world datasets, constraints, and performance targets with an accent on robust pipelines, quantum execution workflows, and QPU deployment. Focus on integrating research methods into reliable client deliverables, establishing acceptance criteria, and accounting for hardware and execution constraints.

Location: Thuwal, Saudi Arabia

Company

hirify.global is a deep-tech start-up that designs and develops quantum processing units and associated software tools for industrial and scientific use cases.

What you will do

  • Build and deliver client-facing solutions based on hirify.global’s quantum machine learning algorithm portfolio.
  • Adapt and implement quantum and quantum-enhanced graph ML algorithms for client datasets, constraints, and performance targets.
  • Build and maintain ML pipelines covering data ingestion, preprocessing, training, evaluation, and post-processing, with quantum execution, emulation, simulation, and internal tooling integration.
  • Define baselines, metrics, and acceptance criteria with stakeholders and iterate solutions until delivery requirements are met.
  • Collaborate with R&D, hardware, platform, domain, enterprise, and partner teams to transfer methods into applications and run solutions on hirify.global QPUs.
  • Produce maintainable code, documentation, and handover materials while maintaining a scientific and technological watch.

Requirements

  • Senior machine learning engineering profile with around 5 years of professional experience.
  • Interest in quantum computing is required; a physics background is a plus, not a requirement.
  • Ability to adapt existing quantum or quantum-enhanced graph ML algorithms to real-world use cases.
  • Ability to build robust ML pipelines and integrate quantum execution workflows, emulation or simulation platforms, and internal tools.
  • Ability to work with hardware and platform constraints, execution constraints, and reliability requirements.

Nice to have

  • Physics background.
  • Contributions to internal method improvement when they directly support project outcomes.

Culture & Benefits

  • Permanent, full-time contract.
  • Dynamic, close-knit international team.
  • Key role in a growing start-up.
  • Time available for training and conferences or meetups.

Hiring process

  • 30-minute interview with Talent Acquisition.
  • 60-minute team meeting and technical test.
  • Interview with the Engineering Manager, followed by a final interview with the VP.

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