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

We are looking for aLead Research Engineerto 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 offeringhybrid workingfrom a commutable distance fromLondon.

As aLead Research Engineeryour 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 aLead Research Engineeryour 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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