Lead Research Engineer (SLAM/State Estimation)

You will be joining a rapidly growing company at the forefront of Spatial AI, delivering advanced perception solutions in robotics, logistics, and automation.

This position offers the chance to lead innovation in SLAM and state estimation, bridging research with real-world deployment.

They are offering hybrid working within a commutable distance from London

Key Responsibilities:

• Design and implement cutting-edge SLAM and perception algorithms for real-time localization, mapping, and scene understanding.

• Build robust Spatial AI systems optimized for real-world applications.

• Collaborate with product and engineering teams to transform R&D breakthroughs into practical robotics and automation solutions.

• Contribute to advancing applied Spatial AI within a team of domain experts.

Essential Qualifications:

• Deep knowledge of geometric computer vision, SLAM, or state estimation.

• Strong background in optimization, numerical linear algebra, and sensor fusion.

• Experience deploying SLAM in industrial or embedded environments.

• Proficient in modern C++ development.

Preferred Skills:

• PhD in computer vision, robotics, or a related field.

• Familiarity with machine learning for geometric/semantic inference.

• Experience in GPU computing (CUDA, Vulkan, OpenCL, or Metal).

• Exposure to embedded systems development.

Benefits:

• Hybrid work with flexibility to work from home or the London office.

• 25 days annual leave + public holidays + additional time off over Christmas.

• Equity options in a fast-growing company.

• Enhanced pension and private healthcare.

• Budget for professional development and remote work setup.

• Weekly team lunches, social events, snacks, and a fully stocked office fridge.

• Personal company card for work-related purchases.

• Access to unlimited coaching through More Happi.

• Enhanced parental leave package.