Lead Research Engineer (SLAM / State Estimation)

JR United Kingdom; London; Hybrid; GBP 60,000 - 90,000; Full time

Job summary

A leading robotics software company in London is seeking a talented Lead Research Engineer specializing in SLAM and State Estimation. This hybrid role involves designing advanced algorithms and collaborating on Spatial AI solutions for robotics and automation. Ideal candidates will have a PhD in computer vision or robotics and experience in deploying SLAM solutions.

Qualifications

• Strong background in geometric computer vision, state estimation, or SLAM.
• Industrial experience deploying SLAM solutions.
• Experience with machine learning techniques for geometric and semantic estimation.

Responsibilities

• Design and develop SLAM and perception algorithms for high-performance localization.
• Create high-quality Spatial AI systems for real-world applications.
• Collaborate with Product teams to turn innovations into customer solutions.

Skills

Geometric computer vision

State estimation

SLAM

Machine learning

Embedded software development

Education

PhD in computer vision or robotics

Tools

C++

Job description

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Client:

European Tech Recruit

Location:

London, United Kingdom

Job Category:

Other

EU work permit required:

Yes

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Job Views:

1

Posted:

25.05.2025

Expiry Date:

09.07.2025

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Job Description:

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

This role offers a hybrid work arrangement with 2-3 days WFH per week and the rest onsite near London Bridge.

The team focuses on delivering advanced Spatial AI solutions for robotics, intralogistics, and warehouse automation.

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

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

Requirements:

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

If interested, please apply directly on LinkedIn or send your CV to [emailprotected].

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