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

ZipRecruiter; London; Hybrid; GBP 60,000 - 90,000; Full time

Job summary

A leading company in Spatial AI is seeking a Lead Research Engineer in London. This role involves designing innovative SLAM algorithms and contributing to real-world robotics applications. The successful candidate will have a PhD and a strong background in computer vision and robotics, working in a collaborative environment that bridges research and practical deployment.

Qualifications

• Strong background in optimization, sensor fusion & numerical linear algebra.
• Experience deploying SLAM in industrial or embedded environments.
• Familiarity with machine learning for semantic/geometric inference.

Responsibilities

• Design & implement cutting-edge SLAM & perception algorithms for real-time applications.
• Collaborate with product & engineering teams to transform R&D into practical solutions.
• Contribute to advancing applied Spatial AI within a team of experts.

Skills

Deep knowledge of SLAM

Geometric computer vision

State estimation

Optimization

Sensor fusion

Numerical linear algebra

Proficient in modern C++ development

Education

PhD in computer vision, robotics, or a related field

Tools

GPU computing (Vulkan, CUDA, OpenCL, Metal)

Embedded systems development

Job description

Job Description

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

• 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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