Remote Computer Vision Engineer — Pose Estimation

Xsens Technologies B.V.; United States; Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

28 paid vacation days

Tax perks for sports memberships and a

bicycle purchase

Flexible working hours

Work from home option

Paid volunteer time

Financial planning via Equip

Company social events and activities

Job summary

Xsens Technologies B.V. is seeking a hands-on Computer Vision Engineer to lead camera-based perception for motion capture, building deep learning pipelines to convert camera images into accurate human pose estimates.

You will work with a team of sensor fusion experts and report to the Technology Manager, with the role open to hybrid/remote work. The ideal candidate holds an MSc/PhD in CS/EE/Robotics with hands-on DL pose-estimation experience, solid knowledge of camera models, and familiarity

Qualifications

• MSc/PhD in Computer Science, Electrical Engineering, Robotics or a related field with relevant industry or applied research experience.
• Hands-on experience training and fine-tuning deep learning models for human pose estimation with public benchmarks.
• Solid understanding of camera and lens models, intrinsic/extrinsic calibration, and multi-view geometry.
• Familiarity with pose model outputs (keypoints, SMPL family).
• Experience with OpenCV, Sapiens, and SAM3D; proficiency in Python; working knowledge of C++.

Responsibilities

• Lead camera-based perception for Xsens motion capture and develop DL pipelines for 2D/3D pose estimation.
• Develop camera models and calibration routines for various camera/lens configurations.
• Evaluate motion capture output and design compensatory techniques for camera/vision failure modes.
• Build training/evaluation pipelines from camera and optical motion capture data; use synthetic data as needed.
• Track CV research trends and assess feasibility of new techniques for Xsens products.

Skills

Deep learning for pose estimation

Camera-based perception

Python

C++ integration

OpenCV

Multi-view geometry

Pose representations (keypoints, SMPL)

Sapiens

SAM3D

Education

MSc/PhD in Computer Science, Electrical Engineering, Robotics

Tools

OpenCV

Sapiens

SAM3D

Job description

Xsens Technologies B.V. is seeking a hands-on Computer Vision Engineer to lead camera-based perception for motion capture, building deep learning pipelines to convert camera images into accurate human pose estimates.

You will work with a team of sensor fusion experts and report to the Technology Manager, with the role open to hybrid/remote work. The ideal candidate holds an MSc/PhD in CS/EE/Robotics with hands-on DL pose-estimation experience, solid knowledge of camera models, and familiarity