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
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