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Computational Geometry Engineer


HP SCDS is an IT company specialized in firmware and software development for HP 2D and 3D printers.

We believe in the power of technology but even more in the people who use it. This motivates us — inspires us — to do what we do. To make what we make. To invent, and to reinvent. To engineer experiences that amaze.

Our family is growing, from 47 people in August 2015 to more than 170 nowadays, and we want you to join us! Follow HP SCDS in social media and find out what we are doing:




This is a Job opportunity for Computational Geometry Engineer:

You'll be part of a brand-new team in the Innovation Department to develop a disruptive image processing solution to be used in the Large Format HP printers' business.

As a computational geometry research engineer, you will be involved in the investigation, experimentation, design and development processes combining classical Image Processing Methods and modern Deep Learning techniques into a new image semantics engine.

You'll be responsible for designing and running experiments to bring the latest geometrical computational advances from the literature to our project, while contributing to the development of this new software.


  • Develop tools to capture and describe geometrical elements in Computer Vision problems
  • Help to integrate geometrical descriptions in Machine Learning systems
  • Participate in the development and selection of new data sources and ensuring the quality and reliability of the data
  • Communicate, implement, and integrate statistical tools developed into the internal systems for ongoing use
  • Measure and communicate the effect of models in production
  • All other duties as assigned



  • Must have a bachelor's degree in computer science, Maths, Physics, or related field
  • Must have strong analytical/mathematical skills and working knowledge of computational geometry
  • Experience in software development and version control
  • Experience with Image Processing and Computer Vision



  • Master's Degree or PhD in Computer Science, Maths, Physics, or related field strongly encouraged but not required
  • C++ and Python Skills
  • Experience with machine learning
  • Robust exploratory/experimental skills
  • Ability to implement models from research. Some of our best improvements have come from doing literature surveys and implementing novel techniques from research papers



  • Bachelor's degree in computer science, Maths, Physics, or related field
  • Computer vision
  • Inglés (C1)
  • Mathematical skills

Información adicional

Nivel de experiencia
Algo de responsabilidad

Desarrollo de programación

Tipo de empleo
Jornada completa

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Tecnología de la información

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