Senior Quantum Algorithm Developer – Optimization

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 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 in extending 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.

In this context, your missions will be as follows:

• Investigate existing literature.

• Apply analytical and numerical tools to test the feasibility of the algorithmic methods in solving impactful and industrial use cases.

• Study the benefits of quantum computers to reach quantum advantage. Develop PoCs to investigate the risk and return for certain use cases and the limitations of classical computing in solving them.

• Develop a blueprint for a quantum advantage experiment and work with our R&D hardware team to see it come to fruition.

• Collaborate with our academic and industrial partners, and in some projects, work together with clients who possess domain-expertise about the use cases we are interested in.

• Contribute to the development of software products in collaboration with our software engineering team, running on a variety of special-purpose simulation/emulation backends locally and on our HPC cluster.

• Provide scientific support to the software engineering team.

• Investigate realistic implementations in our neutral-atom hardware, including analog and digital implementation paradigms, noisy emulations, realistic parameter settings and limitations, and limitations to the addressability and shot-rate.

• Contribute to the activities of the team pertaining to Optimization and Operations Research, notably in the form of scientific watch of new papers.

• Have an inventive activity in the scientific and technical fields related to the company's research, products, technologies and markets; filing patents.
  

About you

With a MSc or a PhD in Operations Research or in a related field with at least 5 years in a similar position, you have the following assets:

• Experience with at least one of the following optimization frameworks: SCIP, DIP, PuLP, DipPy, Pyomo, JuMP

• Experience with at least one of the following programming languages: C, C++, Python, CUDA, Julia

• Experience with linear and non-linear solvers such as Cplex, Baron, Gurobi, GLPK, IPOP

• Strong taste for Applied Mathematics and graphs, and a keen interest in deep tech and new technologies

• Good practices in algorithms development and numerical simulations

• Good practices in research and project management

• Report/documentation writing

• English fluency 

Notions of quantum computing, atomic physics, and optics are not mandatory but highly appreciated if combined with the aforementioned skills.

What we offer

• Offices in Massy-Palaiseau

• A remote policy: one or two days of remote work

• Type of contract: permanent

• A dynamic and close-knit international team

• A key role in a growing start-up

Recruitment process

• An interview with our Talent Acquisition Specialist (~45').

• A technical interview with the Lead Quantum Algorithm Developer - Optimization

• A home assignment

• A team fit interview with a few people from the Optimization team (~2hrs - onsite or online)

• An 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.