Quandela

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

🇫🇷 Massy, França Presencial TI Tempo inteiro Publicado Mai 11, 2026
Localização Massy, França
Modalidade Presencial
Contrato Tempo inteiro
Categoria TI
Categoria IT Data Science e ML
Idioma English
Publicado 11 de Maio de 2026
Última verificação 30 de Maio de 2026
Contexto da JobGrid

Resumo da vaga pela JobGrid

Internship: Quandela's Algorithms and Applications (H2/2026) at Quandela: Massy, França; Presencial; Tempo inteiro; TI; Data Science e 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, França, Presencial
  • Role classification: TI, Data Science e ML, Tempo inteiro
  • 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.