R&D Engineer / Signal Processing (Indoor Geolocation)

Project overview

As an R&D Engineer in signal processing, you will design and optimize the algorithms at the heart of an indoor geolocation solution. You will work in particular on processing BLE Mesh and UWB signals, precise distance measurement, and sensor data fusion using Extended or Unscented Kalman Filters (EKF/UKF). You will also develop pedestrian dead reckoning (PDR) navigation algorithms from phone sensors and methods for compensating magnetic biases, particularly hard iron and soft iron effects.

You will collaborate with the mobile developer to integrate your work into the final application and be able to explain your technical choices to software stakeholders. The position is full-time, hybrid mode, in Montpellier.

Profile

Engineering degree or PhD in applied mathematics, signal processing, robotics, or related field.

Proven experience in designing and implementing complex algorithms, including EKF/UKF filters, PDR, and radio signal processing.

Proficiency in mathematical modeling, data fusion, and BLE Mesh and UWB signals.

A background in indoor geolocation or embedded systems is a plus.

Team spirit and ability to explain technical subjects to developers.

Work Environment

This young company is developing a high-precision indoor geolocation technology designed to work without dedicated network infrastructure. Its activity is based on radio signal processing and sensor data fusion to determine the position and movement of people in enclosed spaces. Its mission is to enable accurate indoor geolocation without relying on an on-site installed network. Its vision is to facilitate reliable and accessible navigation in indoor spaces.

Location algorithms are the technological core of its project, and their development requires close collaboration between algorithmic expertise and software development.

Project details

• Start: ASAP
• Duration: 11 mois renouvelable
• Remote: hybrid
• Location: Montpellier, Occitanie, FR
• Languages: French