3 weeks ago

Computer Vision Engineer

Xsens

Enschede

3 weeks ago

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Xsens is seeking a Computer Vision Engineer to research, prototype, and deploy algorithms for Visual-Inertial Odometry (VIO), SLAM, and 6-DoF pose estimation, combining IMU technologies with camera-based perception. The role involves designing and implementing state-of-the-art VIO and SLAM pipelines, developing camera models and calibration routines, and collaborating with hardware, firmware, and software teams. Candidates should have an MSc or PhD in a related field, 3+ years of experience, and proficiency in Python/C++.

Core AIHybridFull-timeMid LevelComputer VisionVisual-Inertial Odometry (VIO)

Computer Vision Engineer

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Core AIHybridFull-timeMid LevelComputer Vision

Salary

Not specified

Work Location

Enschede, Overijssel, Netherlands, NL

Work Model

Hybrid: possibility of hybrid working, based in Enschede, Netherlands

Experience Required

3 years

Employment Type

Full-time

Experience Level

MSc with 3+ years of experience or PhD

Core Qualifications

Technical (Must-have)

Computer VisionVisual-Inertial Odometry (VIO)SLAM6-DoF pose estimationMulti-view geometryCamera modelsPythonC++Linear algebraProbability theoryState estimationSensor fusionOptimization techniquesFiltering methodsGenerative AI

Soft Skills

CollaborationInnovationHands-onProblem solving

Preferred Qualifications

Technical (Nice-to-have)

IMU signal processingInertial sensor modelsGPU-accelerated computingDeep learningROSOpenCVRobotics tooling

Key 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.

Computer VisionSLAMVIORoboticsSensor FusionPythonC++HybridFull-timeEnschede

Core Qualifications

Technical (Must-have)

Soft Skills

CollaborationInnovationHands-onProblem solving

Key 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.