Lead Research Engineer – SLAM / State Estimation / Computer Vision / Robotics

We are looking for a Lead Research Engineer to join an established team at a rapidly growing company at the forefront of Spatial AI, delivering advanced perception solutions in robotics, logistics, & automation. This position offers the chance to lead innovation in SLAM & state estimation, bridging research with real-world deployment. They are offering hybrid working from a commutable distance from London . As a Lead Research Engineer your responsibilities will include: Design & implement cutting-edge SLAM & perception algorithms for real-time localization, mapping, & scene understanding. Build robust Spatial AI systems optimized for real-world applications. Collaborate with product & engineering teams to transform R&D breakthroughs into practical robotics & automation solutions. Contribute to advancing applied Spatial AI within a team of domain experts. As a Lead Research Engineer your skills will include: Essential PhD in computer vision, robotics, or a related field. Deep knowledge of SLAM, geometric computer vision or state estimation Strong background in optimization, sensor fusion & numerical linear algebra Experience deploying SLAM in industrial or embedded environments Proficient in modern C++ development Preferred Familiarity with machine learning for semantic/geometric inference. Experience in GPU computing, e.g. Vulkan, CUDA, OpenCL or Metal Exposure to embedded systems development. Feel free to also refer someone you may know who could be good for the role. If they are successfully placed, we offer a great referral scheme! Key words – SLAM / State Estimation / Computer Vision / Robotics / CUDA / Vulkan / OpenCL / Metal / Sensor Fusion / Embedded Systems / Semantic Inference / Geometric Inference / C++ / Spatial AI By applying to this role, you understand that we may collect your personal data & store & process it on our systems. For more information please see our Privacy Notice .