AR Edge AI Research Scientist — On-Device SLAM & VIO

Remote Worker LTD.; Greater London; Hybrid; GBP 80,000 - 120,000; Full time

Benefits offered by this job

Annual bonus

Pension scheme with matched 7%

Private medical and dental cover

Cycle to work scheme

Employee referral bonus

Job summary

Zebra Technologies in London is seeking an AI Research Scientist focused on SLAM, VIO, and 3D spatial perception. You will prototype algorithms for on-device execution on edge hardware to empower AR and enterprise vision.

The role blends research with practical product integration in a global, cross-functional setting. You’ll work in a central London office with a flexible hybrid model, collaborating with a team of AI specialists across the globe.

Qualifications

• Master’s or Ph.D. in Computer Science, Robotics, Electrical Engineering, or related field with focus on Computer Vision, Spatial AI, or Robotics.

Responsibilities

• Research, design, and implement VIO, 6-DoF camera pose estimation, and monocular SLAM for resource-constrained edge hardware.
• Develop algorithms for spatial localisation, multi-view ray triangulation, sensor fusion (IMU + Camera), and plane-fitting to reduce drift.
• Translate research papers into real-time algorithms; optimise neural networks and spatial pipelines for low-latency on mobile NPUs/DSPs/GPUs.
• Build on-device AR experiences, barcode/shelf recognition, OCR, and multi-modal edge AI without cloud connectivity.
• Collaborate with global hardware, software, and product teams to integrate models into product roadmaps.

Skills

SLAM

Spatial AI

6-DoF pose tracking

sensor fusion

C++

Python

Neural network optimisation

Education

Master’s or Ph.D. in Computer Science/Robotics/Electrical Engineering or related field

Tools

PyTorch

OpenCV

ROS

GTSAM

Ceres Solver

Job description

Zebra Technologies in London is seeking an AI Research Scientist focused on SLAM, VIO, and 3D spatial perception. You will prototype algorithms for on-device execution on edge hardware to empower AR and enterprise vision.

The role blends research with practical product integration in a global, cross-functional setting. You’ll work in a central London office with a flexible hybrid model, collaborating with a team of AI specialists across the globe.