Publisert: 17.04.23

Are you passionate for AI? Developer – Image Processing Systems

For our headquarters in Trondheim, we are looking for an ambitious and skilled candidate as a System Developer to strengthen the AI team in our Tolling Systems group.

Traffic is an important part of our daily life, yet the toll it takes on society is way too high. In Q-Free, we see how important it is to ensure sustainable mobility for current and future generations. Q-Free is an international company that innovates and delivers ITS (Intelligent Transportation Systems) solutions worldwide, and we are proud to have employees who are world-leading within their fields of competence.

As a member of the Tolling Systems group, you will be part of the team who is delivering efficient future solutions for Low Emission Zone enforcement and electronic Road User Charging. We build our high-performance and high-availability systems on a mixed set of technologies with both Q-Free and Third-Party products. Key activities are system development for high-performance and -availability, integrating with sensors, cameras and image processing methods.

The AI team within the Tolling Systems group develops neural networks for in image detection and classification of vehicles. Q-Free sees AI as an area that will have a large role in the future of our system development.

Key responsibilities:

  • Developing AI for different use cases.
  • Developing neural networks for image detection and classification.
  • Image processing systems.
  • Realtime performance optimization.
  • Integration with sensor systems.
  • Industrial use of AI tools as machine learning and neural networks.

Experience in any of the following areas is beneficial:

  • Knowledge of statistical and algorithmic models.
  • Working with large data sets and writing efficient code.
  • Modern versions of Java, C/C++ and Python.

We are searching for a person who:

  • Has a genuine interest and good understanding of technology.
  • Has familiarity with deep learning algorithms and use of AI/ML frameworks.
  • Has good cooperation skills and seek solutions in cooperation with others.
  • Is self-motivated with a will to work both independently and in a dynamic team.
  • Has good oral and written skills in both English and a Scandinavian language. Other language skills can also be a plus.
  • Has a higher technical education on Bachelor or Master level.

We are searching for both newly graduates and somebody with some years of experience. Working location is Trondheim, Norway, but you must be prepared to do some traveling abroad in periods.

We are offering a position in a company in growth, with a high level of competence, big ambitions and competitive terms. The position has strong developing possibilities for the right person, with good possibilities to work on both national and international projects.

In the department, you will join a highly experienced team, with employees that would be considered subject matter experts on tolling solutions globally alongside younger engineers that are aspiring to grow and learn. The working environment is informal and there is a strong pay-it-forward culture where there are always colleagues that are willing to assist in ensuring we meet our goals.


Om arbeidsgiveren

Q-Free ASA (OSE: QFR) is a global innovator in intelligent transportation systems that improve traffic flow, road safety, and air quality. With an open, collaborative approach to tolling, traffic and active transportation management, Q-Free works with customers and partners on every continent to digitize infrastructure and overcome modern mobility challenges for the greater good of society.
Headquartered in Trondheim, Norway, Q-Free has annual revenues of approximately 1 billion NOK (120 million USD) and employs 400 transportation innovators, experts and enthusiasts. To learn more about how Q-Free is changing the movements of life, visit www.q-free.com.



Om yobr

yobr (tidligere StudMatch) er en start-up som kobler dyktige studenter med bedrifter som kan tilby spennende, lærerike og godt betalte studentprosjekt og deltidsjobber.




Stillingstype
Fast stilling
Sted
Trondheim
Søknadsfrist
16.05.23
Årstrinn
1 2 3 4 5
Kontaktperson
Jakob Erikstad

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