Computer Vision Engineer (edge)
Reach out to us at
natalie@spoor.ai
As a computer vision engineer (edge) at Spoor you'll be joining a world-class engineering team to design, develop and deploy a system for detecting, tracking and classifying objects in motion (most importantly birds) at or near wind farms.
What you’ll do
- Configure and optimise Spoor’s AI computer vision models to run on edge devices
- Build systems to monitor performance and availability of edge devices in the field
- Discover, benchmark and propose new available edge AI technology for improved performance, reliability and cost
What you’ll need
- Bachelor's degree or higher in Computer Science or related technical field
- Experience using tools such as: Python, C/C++, OpenCV, Tensorflow, Keras, PyTorch or similar
- Experience with edge AI technologies such as: Nvidia Jetson, Google coral or similar
- You have strong analytical, mathematical and problem solving skills
- You’re a team player and get things done
What we offer:
- Employee equity in the company
- A market-related salary package
- A high quality of life and security in beautiful Norway
- A flexible working environment with freedom to tailor your work situation and hours to suit your life situation
- An opportunity to grow and learn as a professional and as a person
- A diverse and inclusive workplace and an opportunity to make a difference
- Work in a world-class team with exceptional talent on important problems
About Spoor
Spoor was founded in 2020 by founders Ask Helseth, Lorea Coronado-Garcia and Helge Reikerås who found each other in the Antler startup accelerator program in Oslo, Norway. The founders connected on a shared passion for renewable energy, sustainability and artificial intelligence. Spoor has received financial support from several of the Nordic’s most active investors: Antler, Startuplab, Firda, Wiski Capital, Nysnø, Ørsted, and Norrsken.