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.

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Job Description

As part of our strong growth, we are recruiting a Quantum Graph Machine Learning Project Lead to reinforce our Application team.

In this context, you’ll work among top scientists and developers in the quantum industry. You will work in partnership with our quantum developers teams in France and in the Netherland, as well as our quantum hardware teams.

You will manage and mentor a team of 5+ quantum graph algorithm researchers at various levels in their career (from Junior to Mid-Senior), organize its work, lead the members and follow up on internal and external projects.

You will be in charge of creating vision and roadmap for the specific topic of graph machine learning, identifying the blocking points and limits of graph machine learning (from an application and/or algorithm point of view); this includes (but is not limited to) classification tasks, coarsening/sampling.

You will work with the hardware teams to coordinate the choices and decisions.

You will work closely together with PASQAL’s use case teams to understand which domains and applications are the most industrially relevant for a quantum approach.

You will also support quantum algorithm developers working on client projects.

We'll provide training and provide technical experts as you get introduced to the company, algorithm portfolio and hardware specifics. Being a senior level role, having a thorough understanding and experience in general graph machine learning and related technology will be required coming in on day 1.

This position will report directly to our Head of Graph Quantum Computing Algorithms. The work will be based on site in our Massy office (remote/hybrid option negotiable under exceptional circumstance).

About you

Soft skill

• You hold a PhD in quantum computing, graph machine learning or a related field (physics, engineering, computer science, applied mathematics etc.)
• You have 3-5 years of work experience (including academic or private sector) in applied research or computer science (applied mathematics, computational physics, computational research, machine learning, etc.)
  
• You have at least some experience (1+ years) managing scientific/technical people
• You have experience speaking to technical audience
• You are reactive
• You are independent and autonomous
• You possess initiative and are self-driven
• You are organized and structured

Hard skills:

• Solid knowledge of either Classical or Quantum Graph Machine Learning
• Supervision experience allowing to supervise a team of up to 5 people
• Experience working with Python (Knowledge of Julia, C++, CUDA is a bonus)
• Experience with Git/collaborative coding and code review
• Experience programing on GPU appreciated
• Report / documentation writing
• English fluency

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What we offer

• A flexible rhythm of remote work (2-3 days per week)
• Type of contract: permanent
• A dynamic and close-knit international team
• A key role in a growing start-up
• Free time to train and go to conferences/meetups

Recruitment process

• An interview with our Talent Acquisition Specialist of 45'
• A technical interview with our Hiring Manager of 1 hour
• A coding interview with a team member
• An interview with Vincent, our SVP of Use Cases and Quantum Algorithm
• An offer !

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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.

Department

R&D

Locations

Massy, France

Remote status

Hybrid Remote

Employment type

Contract

Department

Algorithms & Use Cases

Team

Hamiltonians

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