System Developer in Computer Vision
Workplace: Linköping, Sverige
Expires: August 14, 2025
We are looking for a system developer with a strong interest in Computer Vision and Deep Learning who wants to combine consulting with developing the technical field within a team at Combitech in Linköping. You will have the opportunity to share your knowledge, contribute to developing colleagues and co-workers, and share our passion and pride in offering our customers and partners more efficient, safer, and value-creating solutions.
Main requirements:
  • University degree in engineering (Master or Bachelor)
  • A few years of experience in programming
  • Experience in Computer Vision
  • Knowledge in programming languages such as Python, Matlab, C++ or C
  • Interest in automation and Machine Learning
  • Ability and enthusiasm for knowledge sharing and developing colleagues
  • Willingness to undergo and pass a security clearance with registry check
Responsibilities:
  • Develop software and frameworks for Computer Vision and AI
  • Integrate cameras and sensors including 3D sensors, NIR, and IR equipment
  • Work on in-house projects as well as customer sites
  • Engage in ongoing projects supporting industries like automotive, defense, medtech, recycling, and process industry
  • Participate in local competence groups, studying and experimenting with AI and Computer Vision research articles
Required hard skills:
  • Programming in Python, Matlab, C++ or C
  • Experience with Computer Vision technologies
  • Knowledge of Deep Learning and Machine Learning concepts
Recommended hard skills:
  • Experience with sensor integration (cameras, 3D sensors, NIR, IR)
Soft skills:
  • Passion for knowledge sharing
  • Team player
  • Problem-solving skills
  • Communication skills
Coding languages:
  • Python
  • Matlab
  • C++
  • C
Natural languages:
  • Swedish (Proficient)
  • English (Proficient)
Cultural skills:
  • Collaborative teamwork
  • Commitment to sustainable work practices
  • Engagement in research and continuous learning