Full-Time AI/SLAM Architect

We are seeking a versatile and skilled AI/SLAM Architect. The ideal candidate will be responsible for applying advanced machine learning techniques, computer vision, and hardware technologies to create and optimize SLAM algorithms.

Key Responsibilities

• Enhance our Prototype: Enhance and extend our functional prototype into a robust SLAM system ready for deployment in real-world applications.
• Develop machine learning models: Develop solutions to enhance our SLAM accuracy, robustness, and efficiency.
• Sensor Data Processing: Work with sensors such as WebXR, LiDAR, cameras, IMUs, and GPS to process data and enable real-time mapping and localization.
• Determine appropriate technology/technique usage: Implement and improve 2D, 3D, and visual SLAM techniques.
• Deep Learning: Experiment with deep learning frameworks to improve SLAM performance in dynamic and unstructured environments.
• Identify and resolve defects: Work closely with the business to identify and optimise our solutions.
• Ensure security by design: Integrate security/privacy best practices into the learning process to ensure that approaches are secure and responsible from the ground up.
• Optimise for performance and scalability: Design and implement solutions that can dynamically scale to meet varying demands and ensure high performance and availability. Use profiling tools to identify performance bottlenecks and optimise code accordingly.

Agile Development

• Agile Focus: Contribute to an Agile development environment, participating in sprint planning, daily stand-ups, and retrospectives. Work collaboratively to refine requirements, estimate tasks, and deliver high-quality solutions efficiently.

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