Computer Vision Engineer - Automation & Mobility
- Compensation
- Not disclosed
- Location
- Remote job
- Work setup
- Remote
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 3+ years
- Category
- Ml / AI
- Posted
Skills
Must have
- 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
- Solid 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++.
- Strong mathematical background in linear algebra, probability theory, and state estimation.
Nice to have
- A few years of experience in automotive and/or robotics industry
- Experience with IMU signal processing and inertial sensor models.
- Awareness of GPU-accelerated computing and experience in optimizing algorithms for real-time performance
- Knowledge of deep learning-based perception methods.
- Experience with ROS, OpenCV, and standard robotics tooling.
Full description
Do you get excited about building cutting-edge perception systems that work reliably in the real world? Do you have a strong foundation in computer vision, robotics, or sensor fusion? Are you interested in shaping new technology capabilities within a growing and innovative high-tech company, where people and fun are part of our core values? We’d love to have you!
Who is Xsens
Xsens is a leading full-stack provider of sensors, software, and analytics that enable the digitization of movement. For more than two decades, our inertial sensor modules and sensor fusion technology have delivered reliable orientation and position data in demanding environments, from autonomous vehicles and drones to industrial machinery and humanoid robots. Xsens serves automation & mobility, humanoid robotics, entertainment, and health & sports markets. By turning complex motion data into actionable insight, we help our partners navigate, control, and learn in the physical world. We collaborate with leading global innovators including Boston Dynamics, Toyota and Siemens, alongside more than 1,000 research institutions, robotics companies and universities worldwide.
Your role as a Computer Vision Engineer at Xsens
As a Computer Vision Engineer, you will be at the heart of our effort to expand Xsens' positioning and localization capabilities, moving beyond inertial-only solutions toward full visual-inertial systems. You will research, prototype, and deploy algorithms for Visual-Inertial Odometry (VIO), SLAM, and 6-DoF pose estimation, bringing together our IMU technologies with camera-based perception capabilities. You will be part of the Technology team and report to the Technology Manager. You will be based in Enschede, the Netherlands, with the possibility of hybrid/remote working.
Key challenges:
- 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.
Xsens is looking for a hands-on Computer Vision Engineer who combines strong theoretical foundations with a proven ability to build and ship working systems.
Required
- MSc in Computer Science, Electrical Engineering, Robotics, or a related field, with 3+ years of relevant industry or research experience; a PhD with demonstrated hands-on system-building experience.