Hybrid Computer Vision Engineer – VIO/SLAM Specialist

Xsens

Enschede

Hybrid

EUR 70,000 - 100,000

Full time

14 days+
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Benefits offered by this job

Flexible hours
Work from home
Volunteer time
Financial planning service
Social events
Vacation days

Job summary

Xsens is seeking a hands-on Computer Vision Engineer to advance vision capabilities in Enschede, NL, focusing on visual-inertial fusion and robust 6-DoF pose estimation. You will design VIO/SLAM pipelines, develop camera calibration routines, and collaborate across hardware, firmware, and software teams.

The role requires strong background in multi-view geometry, VO/SLAM, and Python/C++, with experience building real systems.

Qualifications

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

Responsibilities

  • Design and implement state-of-the-art VIO and SLAM pipelines, combining inertial sensor data with monocular or stereo camera inputs
  • Develop and maintain camera models, calibration routines, and sensor synchronization pipelines across multiple hardware configurations
  • Apply optimization techniques and filtering methods to achieve robust and accurate 6-DoF pose estimation
  • Stay current with the computer vision and research landscape and assess the feasibility of integrating new techniques into Xsens products
  • Collaborate closely with hardware, firmware, and software teams to deliver end-to-end perception solutions

Skills

Python
C++
Multi-view geometry
VO/SLAM
Open source frameworks
State estimation
Linear algebra
Probabilistic reasoning
ROS
OpenCV

Education

MSc or PhD in related field

Tools

ROS
OpenCV
CUDA

Job description

Xsens is seeking a hands-on Computer Vision Engineer to advance vision capabilities in Enschede, NL, focusing on visual-inertial fusion and robust 6-DoF pose estimation. You will design VIO/SLAM pipelines, develop camera calibration routines, and collaborate across hardware, firmware, and software teams.

The role requires strong background in multi-view geometry, VO/SLAM, and Python/C++, with experience building real systems.

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