Senior Computer Vision Engineer, Real-Time 3D Tracking

Job not on LinkedIn

🔥 0 minutes ago

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

FABSTATION

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2019

🏗️ Construction

🏭 Manufacturing

💼 Consulting

Construction • Manufacturing • Consulting

FABSTATION is an augmented reality software company that provides specialized AR tools for structural steel fabrication. Their platform overlays accurate 3D models on shop-floor assemblies, integrates with detailing/BIM tools like Tekla, SDS2, SolidWorks and Inventor, and aims to speed training, reduce inspections and rework, and improve quality control for steel fabricators. FabStation is delivered as a software solution for fabrication shops to go paperless and increase precision and efficiency.

📋 Description

• Own the on-device object tracking core end-to-end, from architecture through production • Design and implement real-time, model-based 6DoF pose estimation and continuous tracking for textureless steel structures, using CAD models as the tracking reference • Fuse object tracking with platform world tracking (visual-inertial odometry), depth, and IMU data; own tracking-loss detection, drift management, and recovery • Optimize native C++ vision pipelines for iOS and Apple silicon: rendering, CPU/GPU budgets, and sustained frame rates on iPad or headset hardware • Extend tracking to large structures: partial visibility, multi-region strategies, and CAD mesh preprocessing from IFC/STEP - type exports • Integrate native modules with Unity via a plugin bridge, and work with our Unity team from prototype through release • Define tracking quality metrics and benchmark against real shop-floor conditions: occlusion, mixed lighting, and cluttered scenes of visually similar material

🎯 Requirements

• 5+ years of professional experience in computer vision or a closely related field, with a focus on real-time systems • Shipped at least one real-time computer vision feature on a mobile platform (iOS or Android) • Strong modern C++; Python is an asset • Solid foundation in 3D geometry: camera models, calibration, projective geometry, and linear algebra • Working command of nonlinear least-squares optimization (Gauss–Newton / Levenberg–Marquardt) and pose parameterization on SE(3) • Hands-on experience with pose estimation and object tracking algorithms • Experience integrating native C++ libraries with Unity, or equivalent native-mobile plugin experience • Strong profiling and optimization skills on ARM (frame budgets, Instruments or equivalent)