Your career at CRIM

At CRIM, you will be introduced to passionate people that will work in concert with you to fully realize your projects.

Discover all the advantages of working at CRIM

10 good reasons to work at CRIM

Would you like to be a member of CRIM’s team? Are you interested in one of our job offers? Would you like to get to know us a little better? Here are 10 good reasons for joining CRIM’s team.

  • Reap the benefits of an outstanding work atmosphere, characterized by mutual support and good humour 
  • Work alongside passionate people in a collaborative setting 
  • Help carry out a range of exciting projects, increasingly on a matrix-based inter-team basis
  • Expand your knowledge, expertise and people skills 
  • Work in the fascinating environment of IT
  • Take on exciting challenges, regardless of your level of expertise 
  • Increase your individual potential and our collective potential
  • Exercise your creativity 
  • Benefit from various attractive working conditions
  • Maintain work/family balance and quality of life 


Description of available jobs

Développeur logiciel - Géospatial

Montréal - Permanent

Développeur de logiciels appliqués au domaine géospatial
Poste régulier – Temps plein

Gestionnaire de projets de R-D en TI

Montreal - Permanent

Gestionnaire de projets de R-D en TI
Poste régulier – Temps plein

Join CRIM’s team!

Would you like to become a member of CRIM’s team? Are you interested in one
of our job offers?

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Upcoming event

    21 June 2018 0:00
    Université Simon Fraser, Burnaby, Colombie Britanique
    Speech and Text team of CRIM will present a poster at the Canadian Higher Eduction IT Lead (CANHEIT-TECC) in Burnaby, British Colombia.
  • @SIM5QC et #Batimatech ont l’honneur d’annoncer une collaboration avec @MIPIMPropTech pour le 2e concours…
  • PRIMA Québec RT @PRIMAQUEBEC: Dévoilement des recommandations du comité d’orientation de la grappe #IntelligenceArtificielle #innovation @economie_quebe…

Recent Publications

  • Towards Automatic Feature Extraction for Activity Recognition from Wearable Sensors: A Deep Learning Approach

  • État des lieux des technologies web