Venture-Backed Defense & Autonomy Startup
Up to 120,000 EUR
The Company
Developing Spatial AI technology uniting 3D computer vision with large language models.
Deploying next-generation autonomous UAVs capable of operating in degraded, GPS-denied environments.
Solving mission-critical physical automation problems across industrial and defence sectors.
Why Join?
Own the core spatial state-estimation and perception layer from day one.
High-impact environment with zero red tape and flat engineering hierarchy.
Direct equity participation, modern AI toolsets, and 31 paid days off plus team offsites.
The Role
A technical, hands-on role where you will:
Design and deploy real-time visual-inertial odometry and state-estimation pipelines.
Fuse data from cameras, IMUs, magnetometers, and barometers into robust pose estimates.
Build loop closure, map-based navigation, and re-localization algorithms for UAVs.
Optimize perception architectures for Nvidia Jetson and low-power edge CPUs/GPUs.
Analyze real mission logs, isolate sensor edge cases, and validate on replay pipelines.
The Essential Requirements
Strong background in Robotics, Computer Vision, or Aerospace Engineering (M.Sc./Ph.D. or practical equivalent).
Proven hands-on experience in Visual-Inertial Odometry (VIO), SLAM, or multi-sensor fusion.
Proficient in C++ or Python/Rust within Linux robotic ecosystems.
Must be eligible for German/EU defence-related project clearances.
What Will Make You Stand Out
Direct experience deploying optimized perception models onto Nvidia Jetson edge platforms.
Background in GPS-denied navigation, LWIR thermal cameras, or terrain-relative mapping.
No terminology in this advert is intended to discriminate on the grounds of age, sex, race, religion or belief, disability, pregnancy and maternity, marriage and civil partnership, sexual orientation, gender, and/or gender reassignment, and we confirm that we are happy to accept applications from anyone for this role.
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