Research Engineer – VIO / SLAM / Computer Vision

European Tech Recruit; London; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A rapidly growing company at the forefront of Spatial AI is seeking a Senior Research Engineer to drive innovation in Visual-Inertial Odometry and advanced perception solutions. The position involves designing cutting-edge algorithms and leading research efforts while offering a hybrid working model from London.

Qualifications

• 5+ years' experience in related field.
• Familiarity with machine learning for semantic/geometric inference is preferred.
• Experience deploying SLAM in industrial or embedded environments.

Responsibilities

• Design & implement cutting-edge SLAM & perception algorithms.
• Collaborate with teams to translate R&D breakthroughs into practical solutions.
• Build robust Spatial AI systems for real-world applications.

Skills

Deep knowledge of SLAM

Computer Vision

Optimization

Sensor Fusion

Numerical Linear Algebra

Education

Master's or PhD in Computer Vision, Robotics, or related field

Tools

Vulkan

CUDA

OpenCL

Metal

Job description

We are looking for a Research Engineer (senior / lead / expert level)to join 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 Visual-inertial odometry (VIO) SLAM, bridging research with real-world deployment.

They are offering hybrid working from a commutable distance from London.

As a 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 Research Engineer your skills will include:

• Master's or PhD in computer vision, robotics, or a related field.
• 5+ years' experience
• Deep knowledge of SLAM, computer vision & VIO
• 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 – Visual-inertial Odometry / SLAM / Computer Vision / Robotics / CUDA / Vulkan / OpenCL / Metal / Sensor Fusion / Embedded Systems / Semantic Inference / Geometric Inference / C++ / Spatial AI

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Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering, Research, and Other

• Industries

  Research Services, Software Development, and IT System Custom Software Development

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