Lead Research Engineer (SLAM / State Estimation)

JR United Kingdom; Colchester; Hybrid; GBP 55,000 - 85,000; Full time

Job summary

A leading robotics software company is seeking a talented Lead Research Engineer specialized in SLAM and state estimation to develop advanced Spatial AI solutions. This hybrid role allows for remote work part of the week, focusing on implementing state-of-the-art algorithms in a dynamic team environment.

Qualifications

• Strong background in geometric computer vision, state estimation, or SLAM.
• Industrial experience in deploying SLAM solutions.
• Proficiency in C++.

Responsibilities

• Design & develop SLAM & perception algorithms.
• Create high-quality Spatial AI systems.
• Collaborate with Product teams for customer solutions.

Skills

geometric computer vision

state estimation

SLAM

C++

machine learning techniques

Education

PhD in computer vision or robotics

Tools

embedded software development

Job description

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Client:

European Tech Recruit

Location:

colchester, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

2

Posted:

06.06.2025

Expiry Date:

21.07.2025

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Job Description:

European Tech Recruit are working closely with an exciting robotics software company, based in London, who are looking for a talented Lead Research Engineer (SLAM / State Estimation) to join their team.

This role can offer a hybrid work arrangement with 2/3 days WFH per week and the rest onsite at their office which is close to London Bridge.

In this role you will join a team focused on delivering advanced Spatial AI solutions to clients in robotics, intralogistics, & warehouse automation.

Responsibilities as Lead Research Engineer (SLAM / State Estimation):

• Design & develop state-of-the-art SLAM & perception algorithms for high-performance localisation, mapping, & scene understanding.
• Create high-quality Spatial AI systems that enable real-world applications.
• Collaborate closely with Product teams to turn innovations into customer solutions for robotics & automation.
• Work alongside SLAM & software engineering experts to innovate in applied Spatial AI.

Requirements:

• Strong background in geometric computer vision, state estimation, or SLAM.
• Industrial experience in deploying SLAM solutions.
• Proficiency in C++.
• PhD in computer vision or robotics.
• Experience with machine learning techniques for geometric & semantic estimation.
• Experience with embedded software development.

If this role is of any interest please apply directly on LinkedIn or send a copy of your CV to [emailprotected] .

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