Build what matters.

Research and develop perception algorithms for autonomous aerial platforms. Work across stereo vision, dense reconstruction, and real-time inference on embedded hardware.

• Advanced degree in computer vision, robotics, or related field
• Experience with 3D reconstruction or visual SLAM
• Strong C++ and Python proficiency
• Published research or equivalent industry experience

Create high-fidelity 3D assets, product visualisations, and simulation environments for internal engineering and external communications.

• Proficiency in industry-standard 3D modelling and rendering tools
• Experience with physically-based materials and lighting
• Ability to work from engineering drawings and CAD data
• Portfolio demonstrating technical or industrial design work

Design and build systems across the full stack — from onboard flight software to ground station tooling and cloud infrastructure.

• Strong fundamentals in systems programming
• Experience with real-time or embedded systems a plus
• Familiarity with CI/CD, testing, and deployment pipelines
• Comfortable working across languages and codebases

Support the perception team on applied research tasks including dataset preparation, model evaluation, and algorithm prototyping.

• Currently pursuing a degree in computer science, maths, or engineering
• Exposure to image processing or machine learning concepts
• Working knowledge of Python and NumPy
• Curiosity and willingness to learn in a fast-paced environment

Build realistic test environments and terrain scenarios for simulation-based validation of autonomous flight systems.

• Experience with game engines or simulation frameworks
• Understanding of terrain, lighting, and environmental design
• Ability to translate real-world geography into usable test scenarios
• Interest in defence, aerospace, or robotics applications