Pedestrian Dead Reckoning (PDR) System Engineer at Waymap
Remote, Scotland, United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

14 Aug, 25

Salary

45000.0

Posted On

14 May, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

ABOUT WAYMAP

Waymap is the world’s leading navigation company for the visually impaired, revolutionizing indoor and outdoor navigation through cutting-edge sensor fusion, AI, and deep-tech solutions. Our smartphone-based navigation system enables seamless, GPS-free positioning, empowering greater independence and accessibility for users worldwide.
As we scale rapidly to meet growing demand, we are seeking a Pedestrian Dead Reckoning (PDR) System Engineer to improve the accuracy and robustness of our MATLAB-based PDR and map-matching systems. You will also contribute to forward-looking innovations, helping shape the future of Waymap’s navigation technology.

Responsibilities

ROLE

As a PDR System Engineer, you will be part of our cutting-edge R&D team, refining and optimizing pedestrian motion models, map matching, and sensor fusion algorithms. Your work will directly impact the precision and reliability of our navigation systems across indoor and outdoor environments.
This is a high-impact, problem-solving role ideal for someone with experience in MATLAB, navigation systems, sensor fusion, and motion modelling, who is also eager to explore emerging localization technologies (for example based on computer vision/SLAM).
Even if you don’t meet all the specific criteria listed below, we’d still love to hear from you if you can draw on similar experience in a closely related area!

KEY RESPONSIBILITIES

  • Enhance pedestrian dead reckoning (PDR) algorithms for indoor and outdoor navigation.
  • Improve sensor fusion techniques, integrating IMU (accelerometer, gyroscope, magnetometer, barometer), GPS, and other data sources.
  • Develop and refine map matching algorithms to align PDR trajectories with real-world maps.
  • Optimize motion modelling, step detection, and stride estimation for more accurate pedestrian tracking.
  • Work with Android and iOS development teams to integrate real-time PDR and map-matching enhancements into mobile applications.
  • Debug, test, and refine algorithms to ensure scalability, robustness, and accuracy.
  • Forward-looking R&D: Research and prototype next-generation localization technologies, such as AI-driven positioning, ultra-wideband (UWB), and computer vision-based mapping.
  • Stay updated on emerging sensor-based navigation and localization technologies.
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