Working alongside our team, you will help bridge the gap between academic breakthroughs and robust production code. This role is an ideal fit if you possess a strong theoretical understanding of modern computer vision methods paired with solid programming skills. Areas of interest include: SLAM, sensor fusion, photogrammetry, and visual localization VLMs, multimodal foundation models, and novel view synthesis Guidance, navigation and control Requirements A completed MSc or higher degree in a relevant STEM field (e.g., Computer Science, Electrical Engineering, Mathematics, Physics). Good Python programming skills and at least basic knowledge of Git and Linux . Hands-on experience with VIO, SLAM, INS or photogrammetry, or modern computer vision methods such as Dust3r, VGGT, and ACE Zero is considered a significant advantage. You should be capable of contributing to the field at a level consistent with top-tier research publications Fluency in English . Readiness to relocate to the Helsinki region, Finland for full-time, in-person work in our Espoo office. Legal right to work in the EU. Ideal Extras The following skills, qualifications and experience are not mandatory but highly valued A PhD degree Software engineering best practices, CI/CD, build systems, or C++ skills. Experience with libraries such as Eigen, Ceres, GTSAM, g2o, or OpenCV Embedded camera systems, sensors, or electronic/mechanical engineering. Domain knowledge: Aviation, UAVs, Geographic Information Systems (GIS).
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