Computer Vision Engineer
Role details
Job location
Tech stack
Job description
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 working.
We actively leverage Generative AI tools to accelerate development and improve quality. You are expected to embrace these tools as part of your workflow and continuously explore how they can enhance development, experimentation, and performance., * 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.
Requirements
Do you have experience in Signal processing?, Do you have a Master's degree?, 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!, 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., * 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.
Benefits & conditions
Pulled from the full job description
- Work from home
- Flexible schedule, 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