R&D Quantum Computing Engineer -
CDI
About QbitSoft
QbitSoft is a young, innovative French "Software as a Service" (SaaS) start-up created in 2022, with the ambition of helping companies of all sizes to understand and implement Quantum Computing to improve and accelerate their business operations. With this in mind, QbitSoft offers its Quantum Modules platform to address a wide range of use cases in sectors such as insurance, logistics and telecoms. At QbitSoft, we don't limit ourselves to mathematical formulation or quantum simulation. We are already using available quantum capabilities, such as (but not limited to) D-Wave's quantum annealers or IBM's quantum gate computers, on real use cases in partnership with various customers.
QbitSoft is a member of the Les Maisons du Quantique program, and the internship will take place at Station F in Paris, the world's largest startup incubator.
QbitSoft's ambition is to become:
- A leader in the European quantum market;
- A company attractive to talent;
- A fast-growing company with a profitable business model.
Position to be filled
We are looking for a Quantum Computing R&D Engineer
As a member of the technical team, you will focus on the development of quantum algorithms to meet the business constraints of customer use cases.
The ideal candidate will have excellent problem-solving skills and be comfortable with both analytical computing and the design and use of numerical methods.
Current projects are R&D projects in Quantum Machine Learning and Quantum Optimization: image segmentation, unsupervised classification, route optimization and scheduling are among the projects currently under development.
Main sectors of application for the algorithms: banking, insurance, logistics and transport.
Your tasks
-Implementation of different methods and potential adaptations to the particularities of the target application domain;
-Evaluation of the implementations developed in terms of cost, robustness, accuracy, efficiency;
-Maintaining a customer-oriented approach and actively contributing to the marketing of the modules developed;
-Supervision of trainees;
-Scientific and technological watch.
Your profile
Recently graduated PhD, engineer or equivalent qualification, with a solid grounding in quantum physics, quantum computing or applied mathematics, looking for an R&D engineer position in experimental development.
You are highly adaptable, autonomous, a self-starter, resilient.
Required skills:
-Programming language(s) (such as python) and scientific computing libraries (such as scipy or numpy);
-Writing and oral skills in English and French;
-Ability to work independently as well as in a team;
-Notions in parallel and distributed computing.
Either:
-Foundations of quantum physics;
-Physics of systems of magnetic moments;
-Main algorithms of quantum computing;
-Models of quantum computation;
Either/and:
-Operational research topics;
-Graph theory;
-Combinatorial optimization problems.
Skills required:
-Quantum Machine Learning or quantum optimization;
-Techniques for data analysis and preparation;
-Library(ies) for quantum computation (such as qiskit);
-Library(ies) for database management (such as pandas);
-Library(ies) for machine learning (such as scikit-learn).
Experience
Required
-4 years' experience in a scientific field;
-Experience in python programming for scientific computing and familiarity with ML libraries (scikit-learn, TensorFlow, pyTorch).
Appreciated
-Participation in the writing of scientific articles;
-Exercise of project management skills;
-Experience in connection with quantum computing.
Desired skills
-Good practice in algorithm development and knowledge of GitHub;
-Knowledge and understanding of the various technologies and solutions available on the market;
-Dynamic, proactive and organized.
The profiles sought are organized, with a good ability to synthesize, curious, creative, capable of autonomy and possessing a level of English sufficient for formal writing and for leading meetings. Previous experience in associative work and project management will be valued.
Ideal candidates will have an agile and flexible mindset, enabling them to evolve in an innovative and constantly changing environment, where objectives and guidelines can be adjusted frequently.