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Computer Vision Function and Algorithm Engineer

Have you understood how your computer vision skills can really make an impact? Do you want to apply your competence in an exciting industry? Then you might have what Zenuity needs to take self-driving cars to the next level.

About Zenuity - Making it Real

We are breaking new ground with world-class driver-assistance and autonomous-driving technologies. To meet the automotive industry’s requirements, we are developing a software in a fashion and context that hasn’t been done before. With robustness, speed to market and a flexible approach we are changing the way the world looks at mobility, infrastructure and everyday life for people worldwide.

We work on interesting technical challenges using cutting edge technologies in a high performance, agile organization with an innovative environment & high level of autonomy, putting you in the driver’s seat. We have a team-based structure with professional management and continuous development, where you will be exposed to many areas within Autonomous Driving, maximizing development opportunities.

Do you want to be part of our journey ahead? We are currently recruiting several function and algorithm engineers and experienced software developers to our vision agile teams in Gothenburg.

Your mission and qualifications

You will be part of an innovative, and open environment with a cross functional team, managing all aspects of vision product development, from requirement analysis and concept development to implementation and testing. Apart from your team, you will work with both feature and sensor developers and customer function owners. We believe that you have:

  • Deep knowledge of vision-based technology, including sensor capabilities and limitations
  • Demonstrated experience in developing vision-based algorithms like object detection and segmentation, feature extraction, 3D reconstruction, object tracking and free space detection
  • Proficiency in C++ programming
  • Ph.D. or M.Sc. related to one of the following fields: Machine Learning, Computer Vision, Robotics, Engineering or Science
  • A proven ability to deliver results, either from academia or industry.

Beneficial skills and experience

  • Knowledge of Deep Learning algorithms
  • Experience in system design and engineering
  • GPU Programming, Computer Graphics and Embedded Software Development
  • Unit testing and Continuous Integration/Delivery
  • Agile software developments methods
  • Experience with Radar, Lidar or other automotive sensors
  • Enthusiasm in sharing your knowledge and experience with the team.

Here is what we offer

  • Working in the soft spot between cutting edge research and low level software development to solve challenging and complex problems in a real-time embedded platform.
  • Working with highly skilled people in collaborative agile teams at the frontier of artificial intelligence
  • A global work place with people from around the world
  • High opportunities for competence as well as personal development
  • Possibilities to influence the direction of the product
  • An exciting industry with the mission to save lives and shape the future

Interviews are held on a continuous basis, so we highly recommend that you submit your application at your earliest convenience. 

Or, know someone who would be a perfect fit? Let them know!

Gothenburg, Sweden

Lindholmspiren 2
417 56 Gothenburg, Sweden Directions recruitment@zenuity.com

Making safe and intelligent mobility real.

At Zenuity, we lead the global movement of crafting tomorrow's mobility with the software platform of choice. Our mission is to “Make safe and intelligent mobility real, for everyone, everywhere”. This statement marks our conviction and dedication to bring autonomous driving out on the streets for real and is at the center of everything we do.  

We could not dream of achieving this without our great teams of very talented people. We are on this journey together and our agile way of working is reflected throughout our entire organization; it is part of our culture and how we work, develop and grow together. 

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