Senior Algorithms Researcher

6 days ago

Montreal, Canada Adoc Talent Management Full time

**** LA VERSION FRANÇAISE SUIT ****

Are you passionate about mathematics, algorithms, probability, optimization, N and NP-hard problems? Would you like to work for a young, fast-growing startup in the field of quantum-inspired computing?

We are recruiting a Senior Algorithms Researcher (F/M) for our client, for a full-time contract (40h/week) in hybrid mode (working at the office on Mondays and Thursdays) in Montreal. At this firm, you'll work with the R&D Applications team to solve highly complex problems in a wide range of sectors, including logistics, cybersecurity, finance, gaming, pharmaceuticals and chemicals.

Your main missions:

  • Research and prototype new algorithms to solve customer problems.
  • Actively monitor the latest research and techniques for solving combinatorial optimization problems (COP).
  • Develop new optimization algorithms using hardware solvers developed by the hardware team.
  • Interface with the R&D Hardware team to develop new solvers and application layers to improve algorithm performance.
  • Interface with the product team to transfer prototype algorithms/codes to the production system.
  • Design experiments and carry out tests in close collaboration with university researchers.
  • Any related tasks as required.

Your profile:

  • PhD degree in Operations Research, Applied Mathematics, Computer Science, Electrical Engineering or equivalent.
  • Very good mathematical expertise in probability (mathematical tools and concepts, stochastic probabilities, etc.).
  • Very good knowledge and expertise in probabilistic algorithms.
  • At least two years' experience (recent and outside PhD) in developing algorithms for optimization problems.
  • Very strong skills in modern C++ and Python.
  • Experience of successful product delivery.
  • Familiarity with industry-standard software development practices (e.g. Kanban, Agile).
  • Experience in a technology startup.
  • Good knowledge of written and spoken English.
  • Curious, responsible, able to work independently and enjoy teamwork.

Assets :

  • GPU experience (Rust, OpenCL, CUDA).
  • Experience with quantum-inspired solvers.
  • Knowledge of French is a plus.

---------------

Passionné.e de mathématiques, algorithmie, probabilités, optimisation, problèmes N et NP-difficiles, vous souhaitez évoluer dans une jeune startup qui travaille dans le domaine de l'informatique d'inspiration quantique et qui est en pleine croissance?

Nous recrutons, pour notre client, un Chercheur Senior en Algorithmes (F/H), pour un contrat à temps plein (40h/semaine) en mode hybride (présentiel lundi et jeudi) à Montréal. Au sein de cette firme, vous travaillerez avec l'équipe R&D Applications afin de résoudre des problèmes très complexes dans un large éventail de secteurs notamment la logistique, la cybersécurité, la finance, les jeux, l'industrie pharmaceutique et la chimie.

Vos missions :

  • Rechercher et prototyper de nouveaux algorithmes pour résoudre les problèmes des clients.
  • Veille active sur les dernières recherches et techniques pour résoudre les problèmes d'optimisation combinatoire (COP).
  • Développer de nouveaux algorithmes d'optimisation à l'aide de solveurs matériels développés par l'équipe chargée du matériel.
  • Assurer l'interface avec l'équipe R&D Hardware pour développer de nouveaux solveurs et couches d'application afin d'améliorer les performances des algorithmes.
  • Assurer l'interface avec l'équipe produit pour transférer les algorithmes/codes prototypes vers le système de production.
  • Concevoir des expériences et effectuer des tests en étroite collaboration avec des chercheurs universitaires.
  • Toute tâche connexe en fonction des besoins.

Votre profil :

  • Diplôme de Doctorat (PhD) en Recherche opérationnelle, Mathématiques appliquées, Sciences informatiques, Informatique, Ingénierie électrique ou équivalent.
  • Très bonne expertise mathématique en probabilités (outils et concepts mathématiques, probabilités stochastiques, etc.).
  • Très bonne connaissance et expertise des algorithmes probabilistes.
  • Au moins deux ans d'expérience (récentes et en dehors du PhD) dans le développement d'algorithmes pour les problèmes d'optimisation.
  • Très solides compétences en C++ et Python modernes.
  • Expérience de livraison réussie de produits.
  • Familiarité avec les pratiques de développement de logiciels standard de l'industrie (par exemple Kanban, Agile).
  • Expérience dans une startup technologique.
  • Bonne connaissance de l'anglais écrit et parlé.
  • Être quelqu’un de curieux, responsable qui sache travailler en autonomie et qui ait le goût de travailler en équipe.

Atouts :

  • Expérience de l'utilisation des GPU (Rust, OpenCL, CUDA)
  • Expérience avec des solveurs inspirés de la quantique
  • La connaissance du français est un plus.
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