Quandela

Internship: Quandela's Algorithms and Applications (H2/2026)

🇫🇷 Massy, France Sur site IT Temps plein Publié Mai 11, 2026
Mode de travail Sur site
Contrat Temps plein
Catégorie IT
Catégorie IT Data Science et ML
Langue English
Publié 11 mai 2026
Dernière vérification 30 mai 2026
Contexte JobGrid

Résumé du poste par JobGrid

Internship: Quandela's Algorithms and Applications (H2/2026) at Quandela: Massy, France; Sur site; Temps plein; IT; Data Science et ML. JobGrid adds normalized role facts, source context, and a path to the employer application page so candidates can compare the listing before applying.

  • Location and workplace: Massy, France, Sur site
  • Role classification: IT, Data Science et ML, Temps plein
  • Source freshness: checked by JobGrid on 2026-05-30.
  • Application path: candidates continue to the employer application page with non-personal referral tags.

Quandela stands as a global leader in quantum computing, driven by groundbreaking technology and a strategic vision for scaling quantum solutions. The company’s unique ability to offer both hardware and software solutions, along with its commitment to build energy efficient datacenters and scalability, positions it to play a key role in the next wave of innovation, and in many strategic and sovereign industrial sectors. 

Join Us at the Forefront of Quantum Computing Innovation 🚀 

Description of the Project

The internship will focus on the development of quantum algorithms for optimisation (e.g., Quantum Approximate Optimisation Algorithm (QAOA)) using a simulator, tools and optimisation techniques already implemented. More specifically, the focus will be on investigating advanced training methods such as Natural Gradient optimisation. The project will also build on previous work on Branch-and-Bound methods, with the objective of connecting them to the QAOA simulation framework and adapting the full pipeline to Quandela’s fault-tolerant quantum computing architecture. The expected outcome is a functional QAOA simulator and a complete BnB-QAOA framework tailored to Quandela’s architecture.