Help us develop cutting-edge technology for safer mobility on streets, autonomous driving and industrial applications.

Create the solutions of tomorrow

You believe that queues, injuries and fatalities in traffic can be avoided. You want to be part of a small yet highly ambitious and fast-paced company developing and applying cutting-edge technology for the safe, automated mobility of tomorrow. You value transparency, teamwork, respect, lifetime learning and a high level of personal responsibility in your work. You want to work close to customers, learning about and solving their needs and challenges. If all this is true, and whether you are a new graduate or a seasoned professional, we believe that Viscando could be a great career step for you.

Available positions

No positions are currently available, but watch this space.

Spontaneous application

Do you share our passion for future mobility and traffic safety? Is programming, AI development, project management (R&D or customer projects), or sales and marketing (especially internationally) your specialty and passion? Do you have an excellent academic record (if you have recently graduated) or a strong employment record?

Please submit a spontaneous application with a CV and a personal letter describing your ambitions, expertise, and how you can contribute to Viscando’s success: or

Master's degree projects

Are you an ambitious and high-performing student with an excellent academic record, looking for a Master’s degree thesis? Do you share our passion for future mobility and traffic safety? Are you excited about AI, edge computing, sensors, signal processing, simulations, or statistical data analysis? Do you want your project to combine cutting-edge industrial applications with high academic value? Then please don’t hesitate to contact us. We have a broad scope of projects for the right students.

Send your CV, grades and a personal letter describing your background, ambitions and interests to Questions? Contact Yury Tarakanov on +46 (0)725 21 12 00 or

Examples of project topics:

  • Efficient and accurate real-time tracking in infrastructure sensor grids
  • Data-driven AI/human behaviour modelling for autonomous driving
  • AI-based intention prediction for early traffic conflict detection
  • Accurate and efficient implementation of DNN-based object detection and classification in stereovision sensors
  • Scenario extraction from naturalistic driving data