Job Description
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
- 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.
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