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You will be updated with latest job alerts via emailAbout 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 an engineer or researcher in the field of Operations Research (Applied Mathematics) with a solid background in exact and heuristic algorithms and in graph theory to reinforce our Quantum Graph Optimization (QGO) team.
Within the team you will be instrumental to extend the field of applications of PASQAL Quantum Processors. This implies working on existing applications and developing new ones; your focus will be mainly in the field of graph theory operations research and related applications.
You will be in charge of the technical relationship with existing clients carry R&D projects with prospective ones as well as internally. You will work in close collaboration with the Engineering and R&D teams and with external partners along all phases of the projects.
You will contribute to the development of our Intellectual Property portfolio as well.
About you
With a MSc or PhD in Operations Research or in a related field with 3 years of experience on a similar position you have the following assets:
Hard skills:
Notions of quantum computing atomic physics and optics are not mandatory but highly appreciated.
What we offer
Recruitment process
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.
Full Time