Visual-Inertial SLAM Engineer (Hybrid/Remote)

Movella; Enschede; Hybrid; EUR 65,000 - 90,000; Full time

Benefits offered by this job

28 paid vacation days

Tax perks for sports and bicycle

Flexible working hours

Paid volunteer time

Financial planning support

Company social events

Job summary

Xsens seeks a hands-on Computer Vision Engineer to expand positioning and localization with full visual-inertial systems. You will research, prototype, and deploy VIO/SLAM algorithms, combining IMU with camera-based perception.

Based in Enschede with hybrid/remote options, you’ll join the Technology team reporting to the Technology Manager. Ideal candidates have a strong CV foundation, experience building real-time perception systems, and collaborate with hardware and software teams across

Qualifications

• MSc in Computer Science, Electrical Engineering, Robotics, or a related field with 3+ years of industry or research experience, or a PhD with hands-on system-building experience.
• Strong understanding of multi-view geometry and camera and lens models and physics.
• Hands-on experience with VO or SLAM systems and familiarity with open source frameworks.
• Proficiency in Python / C++.
• Solid mathematical background in linear algebra, probability theory, and state estimation.

Responsibilities

• Design and implement state-of-the-art VIO and SLAM pipelines combining inertial data with monocular or stereo cameras.
• Develop and maintain camera models, calibration routines, and sensor synchronization pipelines across hardware configurations.
• Apply optimization and filtering techniques to achieve robust 6-DoF pose estimation.
• Stay current with CV/research trends and assess integration of new techniques into Xsens products.
• Collaborate with hardware, firmware, and software teams to deliver end-to-end perception solutions.

Skills

Multi-view geometry

Camera models

VO/SLAM

Python & C++

State estimation

Linear algebra

Probability theory

OpenCV

ROS

Education

MSc in CS/EE/Robotics or PhD

Tools

ROS

OpenCV

Job description

Xsens seeks a hands-on Computer Vision Engineer to expand positioning and localization with full visual-inertial systems. You will research, prototype, and deploy VIO/SLAM algorithms, combining IMU with camera-based perception.

Based in Enschede with hybrid/remote options, you’ll join the Technology team reporting to the Technology Manager. Ideal candidates have a strong CV foundation, experience building real-time perception systems, and collaborate with hardware and software teams across