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

JR United Kingdom; Slough; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

A rapidly growing company at the forefront of Spatial AI seeks a Lead Research Engineer in Slough. This role involves leading innovation in SLAM and state estimation within a collaborative team, offering hybrid working arrangements and the opportunity to drive real-world solutions in robotics and automation.

Qualifications

• Expertise in SLAM, geometric computer vision, or state estimation required.
• Experience deploying SLAM in industrial or embedded environments preferred.
• Familiarity with machine learning for semantic/geometric inference is a plus.

Responsibilities

• Design & implement cutting-edge SLAM & perception algorithms.
• Collaborate with teams to transform R&D breakthroughs into robotics solutions.
• Contribute to advancing applied Spatial AI within a team of experts.

Skills

SLAM

State Estimation

Computer Vision

Robotics

Sensor Fusion

Optimization

Numerical Linear Algebra

Education

PhD in computer vision, robotics, or a related field

Tools

GPU computing

Vulkan

CUDA

OpenCL

Metal

Job description

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

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Client:

European Tech Recruit

Location:

slough, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

1

Posted:

04.06.2025

Expiry Date:

19.07.2025

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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:

• 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

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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