Open Positions

Together with our engineering team, you will implement and optimize real-time navigation software for resource-constrained ARM platforms, integrating it with flight controller hardware, camera pipelines, and sensor data. Additionally, you will help improve our testing, continuous integration, build systems, and SDK packaging, as well as streamline our overall release and deployment pipelines.

Requirements

• Expert-level proficiency in C++.
• Experience in embedded software and ARM platforms.
• Good Python programming skills and proficiency with Git, Linux and CMake.

Ideal Extras

The following skills, qualifications and experience are not mandatory but highly valued

• A completed MSc or higher degree in a relevant STEM field (e.g., Computer Science, Electrical Engineering, Mathematics, Physics).
• Linux server administration and company IT systems.
• 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).

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

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).