Description review
Senior Computer Vision Engineer, Real-Time 3D Tracking
FabStation · Canada · back to the listing
HR standards
74/100
solid
Title ↔ description
84/100
solid
Reads as
Unclear
no confident match
What this role officially is
mobile application developer — ESCO, the EU occupation classification
Mobile app developers implement applications software for mobile devices, based on the designs provided, using general or specific development tools for device operating systems.
Also known as: app developer, mobile app specialist, mobile app developer, mobile application developers, app programmer, app coder
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What the listing never says
- 26 bullet points. Long requirement lists deter qualified candidates, who read them as hard gates. Scope clarity
- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
The listing, marked up
Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.
Full-Time · Remote (Canada) · Eterio Realities Inc. / Fabstation
[Salary range: $ 160,000 - 200,000 CAD
About the Role
Fabstation puts AR work instructions directly onto structural steel during fabrication. Our software runs on AR tablets and headsets on real shop floors across North America, overlaying CAD-driven guidance onto multi-tonne steel assemblies during fit-up, welding, and inspection. We are cash-flow positive, growing fast, and used daily in production.
We are hiring a Senior Computer Vision Engineer to own our real-time 3D object tracking capability: locking a CAD model onto a physical steel member and keeping it locked as the user moves around it. Tracking is core to our product, and we build it in-house.
You will build on internal groundwork already underway and own the road from there: architecture, implementation, optimization, and production hardening. This is a role for someone who wants to own a hard, central problem end-to-end and see it shipped into the hands of real tradespeople, not maintain someone else's pipeline.
What You'll Do
• 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
Required Qualifications
• 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)
• Working proficiency with OpenCV
Preferred Qualifications
• Model-based 3D object tracking (region-based, edge-based, or hybrid approaches)
• Metal and GPU compute on Apple silicon
• Visual-inertial odometry or SLAM; ARKit (ARCore an asset)
• State estimation and multi-sensor fusion: Kalman filtering, factor graphs (Ceres, g2o, GTSAM), extrinsic calibration, and time synchronization
• On-device ML deployment: Core ML, ONNX Runtime, or Unity Sentis; learning-based pose estimation or refinement that has shipped on-device
• CAD data handling: mesh processing and decimation, IFC/STEP-style exports
• Background in industrial vision, robotics, or augmented reality
How to Apply
We prioritize applications that demonstrate hands-on, real-time computer vision work. Please include:
• A brief introduction and a summary of relevant experience
• Links to your GitHub profile, portfolio, or publications
• One or two examples of real-time pose estimation, tracking, or 3D vision work you built, links or short write-ups
Working at Eterio
Eterio Realities Inc. (Victoria, BC) is the company behind Fabstation, an AR-enabled manufacturing execution system for structural steel fabrication. We are a small senior team; you will have direct ownership, direct access to real customer shop floors, and a short path from your code to a tradesperson's hands.
Eterio Realities is an equal opportunity employer. Applicants must be legally authorized to work in Canada.
Salary: $160,000 – $200,000 / yearOriginally posted on Himalayas
[Salary range: $ 160,000 - 200,000 CAD
About the Role
Fabstation puts AR work instructions directly onto structural steel during fabrication. Our software runs on AR tablets and headsets on real shop floors across North America, overlaying CAD-driven guidance onto multi-tonne steel assemblies during fit-up, welding, and inspection. We are cash-flow positive, growing fast, and used daily in production.
We are hiring a Senior Computer Vision Engineer to own our real-time 3D object tracking capability: locking a CAD model onto a physical steel member and keeping it locked as the user moves around it. Tracking is core to our product, and we build it in-house.
You will build on internal groundwork already underway and own the road from there: architecture, implementation, optimization, and production hardening. This is a role for someone who wants to own a hard, central problem end-to-end and see it shipped into the hands of real tradespeople, not maintain someone else's pipeline.
What You'll Do
• 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
Required Qualifications
• 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)
• Working proficiency with OpenCV
Preferred Qualifications
• Model-based 3D object tracking (region-based, edge-based, or hybrid approaches)
• Metal and GPU compute on Apple silicon
• Visual-inertial odometry or SLAM; ARKit (ARCore an asset)
• State estimation and multi-sensor fusion: Kalman filtering, factor graphs (Ceres, g2o, GTSAM), extrinsic calibration, and time synchronization
• On-device ML deployment: Core ML, ONNX Runtime, or Unity Sentis; learning-based pose estimation or refinement that has shipped on-device
• CAD data handling: mesh processing and decimation, IFC/STEP-style exports
• Background in industrial vision, robotics, or augmented reality
How to Apply
We prioritize applications that demonstrate hands-on, real-time computer vision work. Please include:
• A brief introduction and a summary of relevant experience
• Links to your GitHub profile, portfolio, or publications
• One or two examples of real-time pose estimation, tracking, or 3D vision work you built, links or short write-ups
Working at Eterio
Eterio Realities Inc. (Victoria, BC) is the company behind Fabstation, an AR-enabled manufacturing execution system for structural steel fabrication. We are a small senior team; you will have direct ownership, direct access to real customer shop floors, and a short path from your code to a tradesperson's hands.
Eterio Realities is an equal opportunity employer. Applicants must be legally authorized to work in Canada.
Salary: $160,000 – $200,000 / yearOriginally posted on Himalayas