Overview
In this role you will lead end-to-end development of GNC capabilities for Helsing’s UAS platforms, focusing on robust state estimation, navigation, and guidance algorithms in challenging environments. You’ll work closely with field engineers to elevate platform performance and contribute to advanced defense technology with a strong ethical focus. The position offers hands-on experimentation, flight-test analysis, and collaboration across engineering disciplines to drive measurable impact. You join a mission-driven team shaping technology at the frontier of defense and AI.
Pay / Benefits
- Competitive salary
- Relocation support
- Learning allowance
- Health & wellness benefits
- Enhanced parental leave
- Remote work during pregnancy
Responsibilities
- Develop bespoke end-to-end controllers for UASs including conception, design, simulation, integration and iteration
- Design, test and implement state estimator algorithms robust to contested environments
- Simulate navigation and guidance algorithms to inform sensor stack choices (IMUs, GPS/GNSS, barometers, magnetometers, image-based positioning)
- Analyze real sensor data to calibrate sensors and validate performance, bridging simulation and real-world results
- Support specification and execution of tests for navigation and guidance algorithm evaluation
- Collaborate with Flight Mechanics, Aerodynamics, Embedded H/W and Software, and Testing teams
- Contribute to and analyze flight tests
Key requirements
- M.Sc. in Aeronautical Engineering, Mechanical Engineering, Robotics or equivalent
- At least 5 years of professional experience in navigation, guidance or state estimation
- Strong Matlab/Simulink skills
- Solid background in state estimation theory, aerodynamics, stability and control, and systems modelling
- Excellent communication and ability to report findings clearly
- Solid software engineering skills in Matlab and/or Python, Rust, Java or modern C++
- Interest in current research and reimplementation/extending papers on state-of-the-art navigation and guidance algorithms
- excellent communication
- cross-functional collaboration
- critical thinking
- Matlab/Simulink
- state estimation theory
- aerodynamics
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