Experienced Computer Vision Engineer
Hybrid · Göteborg, Västra Götaland, Sweden
Job Summary
Design, implement, and refine algorithms that improve and sharpen our perception stack. You’ll work across the full development cycle, from early concept exploration to testing in simulation, HIL setups, and real vehicles. Collaborating closely with experts in computer vision, deep learning, and platform engineering, you’ll help shape product direction while keeping performance, reliability, and safety at the core. Typical tasks include developing new and improved algorithms for camera and LiDAR-based real-time calibration and localization; developing geometric computer vision algorithms including visual odometry, calibration, localization, and 3D reconstruction; driving product development from concept to production-ready code; writing production-grade C++ for safety-critical, real-time systems running on Linux; running experiments and evaluations in HIL environments and in-vehicle testing; building Python tooling to monitor, evaluate, and visualize algorithm behavior; reading research, building proofs of concept, and translating findings into production-ready code. This role offers a hybrid work setup in Gothenburg, Sweden, with collaboration across teams and a focus on turning theory into robust features for embedded systems.
Required Qualifications
- Several years of relevant industry experience
- Solid C++ programming skills with the ability to write performant, testable, and maintainable code
- Background in computer vision, robotics, software engineering, computer science, electrical engineering, or a related field
- Experience integrating software into complex products
- Ability to work with mathematics relevant to geometric computer vision
- Demonstrated ability to apply research or theoretical ideas in practice
- Experience with Python for tooling and analysis (Nice-to-have)
- Experience with deep learning models in computer vision (Nice-to-have)
- GPU programming (CUDA) or embedded software (Nice-to-have)
- Experience with continuous integration/delivery or agile methods (Nice-to-have)
- Contributions to open-source projects, publications, or personal repos (Nice-to-have)
- Background in related industries such as robotics, aviation, defense, medical devices, automotive, trucks, construction equipment, computer graphics, or 3D game development (Nice-to-have)
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