Xsens

Technology

ComputerVisionEngineer

€55–75k ~AI est. Enschede, Overijssel, Netherlands FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for mid candidates.

The Brief

“Computer Vision Engineer at Xsens. Skills: Computer Vision, Robotics, Sensor Fusion, Visual-Inertial Odometry. Research perception algorithms. Prototype perception algorithms”

Industry & Context.

Technology
Problems you'll solve

State estimation; Optimization techniques; Filtering methods

What They're Looking For.

Must Have

MSc in Computer Science, Electrical Engineering, Robotics, or related field, with 3+ years of relevant industry or research 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, Familiarity with open source frameworks, Proficiency in Python / C++, 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, Experience in optimizing algorithms for real-time performance, Knowledge of deep learning-based perception methods, Experience with ROS, OpenCV, and standard robotics tooling

What You'll Do.

Research perception algorithms

Prototype perception algorithms

Deploy perception algorithms

Design VIO and SLAM pipelines

Implement VIO and SLAM pipelines

Combine inertial sensor data

Combine camera inputs

Develop camera models

Maintain camera models

Develop calibration routines

Maintain calibration routines

Develop sensor synchronization pipelines

Maintain sensor synchronization pipelines

Apply optimization techniques

Apply filtering methods

Achieve robust pose estimation

Achieve accurate pose estimation

Stay current with computer vision research

Assess feasibility of new techniques

Integrate new techniques into products

Collaborate with hardware teams

Collaborate with firmware teams

Collaborate with software teams

Deliver end-to-end perception solutions

How You'll Work.

Team & Collaboration

Hardware teams; Firmware teams; Software teams; Technology team

Full 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. Xsens serves entertainment, humanoid robotics, health & sports and automation & mobility markets. By turning complex motion data into actionable insight, we help our partners accelerate development, improve control and learning, and bring physically intelligent systems to life. We collaborate with leading global innovators including Boston Dynamics, Toyota, Siemens, Electronic Arts, Epic Games, Netflix, and 20th Century Studios, alongside more than 1,000 research institutions, humanoid 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 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. Key responsibilities: * Design and implement state-of-the-art VIO and SLAM pipelines, com

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