Computer Vision Engineer - Automation & Mobility

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

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; 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.

Preferred

• 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.

Working at Xsens

We value ingenious ideas, no matter where they come from. We believe diverse thoughts, voices, and backgrounds make us stronger as a company. We know that it is through collaboration with people from all walks of life that we make the most positive impact as an organization.

Join Xsens’ innovative, ambitious, and international team, where your ideas and talents make an impact. Along with a competitive compensation package, we offer a range of benefits designed to support your well-being and help you thrive.

• 28 paid vacation days with an option to buy, sell, or carry over days, giving you flexibility to manage your time off as appropriate to your situation
• Tax perks for your sports memberships and bicycle purchase; so staying active is easier than ever.
• Flexible working hours and the option to work from home, helping you balance life and work
• Paid volunteer time: Through our partnership with Stichting Present, you have the opportunity to give back to the community during office hours
• Our partnership with Equip gives you on-demand access to a dedicated financial planner who provides clear guidance and a concrete plan for wealth building, pensions, and major life events.
• Enjoy company social events as well as fun, informal activities organized by our staff association. From movie nights and sports clinics to cooking classes and LAN parties, there’s always something happening to connect and have fun