Engineer

LiDAR (ALS/MLS/TLS) Scan-to-BIM Simulation Expert Sr. Manager

Position Overview

Matrix Geo Solutions Ltd., India s pioneer in LiDAR, Drone Mapping, and Digital Engineering, seeks a technically advanced and visionary LiDAR Scan-to-BIM Simulation Expert (Sr. Manager) to lead the full spectrum of 3D reality capture, modeling, simulation, and analysis projects.

The role combines Airborne (ALS), Mobile (MLS), and Terrestrial (TLS) LiDAR expertise with advanced Scan-to-BIM, Simulation, and Digital Twin applications, delivering high-precision datasets for Railway Yards, Bridges, Monuments, Archaeological Sites, and Forensic Reconstructions.

The candidate will ensure end-to-end project success from LiDAR processing to BIM model creation, simulation visualization, and proposal vs actual analysis while driving innovation in AI, Automation, and XR-based visualization.

2. Department

LiDAR, Scan-to-BIM Simulation Division
Reporting To: Technical Director / Head Digital Mapping Innovation
Location: New Delhi (with national international project coordination)

3. Key Roles and Responsibilities

A. LiDAR Processing 3D Data Management

Lead ALS/MLS/TLS LiDAR data processing, including calibration, classification, strip adjustment, and registration.
Perform DTM/DSM generation, meshing, cross-sections, and volumetric analysis.
Integrate Drone, GNSS, and IMU datasets into LiDAR workflows for multi-sensor precision.
Ensure vertical and horizontal RMSE 10 cm and maintain metadata traceability.

B. Scan-to-BIM Modeling Analysis

Convert point clouds into BIM-ready models (LOD 300 500) using Revit, Civil 3D, and MicroStation.
Extract architectural, structural, and MEP features; validate model geometry and scale fidelity.
Conduct proposal vs actual site deviation analysis using cloud-to-BIM comparison and QC dashboards.
Implement clash detection, tolerance verification, and geometry QA/QC for engineering validation.

C. Simulation, Visualization Flythrough Creation

Develop high-fidelity 3D simulations, animations, and flythroughs for engineering review and DPRs.
Create proposal vs simulation vs actual comparison videos for client presentations and progress validation.
Integrate 4D (time-based) construction sequence simulations for project monitoring.
Ensure engineering accuracy within visual simulations, maintaining geometric and coordinate consistency.

D. Project Delivery, Documentation Quality

Define and monitor QA/QC gates for all LiDAR-BIM deliverables.
Prepare Technical Reports, Deviation Analyses, and Methodology Notes.
Coordinate cross-department workflows (Survey, LiDAR, BIM, Visualization) for seamless output delivery.
Maintain structured data governance, version control, and gate-pass validation for final deliveries.

E. Research, Automation AI/ML Integration

Develop automation scripts (Python, FME) for QC validation, classification, and metadata tagging.
Implement AI/ML algorithms for feature extraction and semantic segmentation from point clouds.
Establish Matrix Geo s AI-based QC pipeline for automatic anomaly and deviation detection.

F. Advanced Technical Scope

Develop LiDAR-driven Digital Twins integrating BIM, GIS, IoT, and simulation datasets for real-time asset monitoring.
Conduct structural deformation and displacement analyses for bridges, tunnels, and monuments.
Create forensic reconstruction models for incident simulation, trajectory analysis, and visual evidence reporting.
Deliver interoperable outputs (IFC, CityGML, LandXML, Revit, Navisworks) compatible with BIM360, Maximo, and ESRI.
Design immersive VR/AR/XR environments for stakeholder engagement and decision-making.
Lead proposal vs simulation vs actual comparative analytics and performance benchmarking.

G. Innovation, Leadership Client Interface

Mentor multi-disciplinary teams (LiDAR, BIM, Visualization, AI).
Present visual deliverables and simulations in client review meetings, tenders, and DPRs.
Support business development through technical documentation, demo creation, and project proposals.

4. Key Result Areas (KRA) Key Performance Indicators (KPI)

KRA KPI / Measurement Criteria

LiDAR Processing Accuracy RMSE 10 cm; completeness 98%
BIM Model Simulation Quality Geometry accuracy 95%; LOD 400 compliance
Proposal vs Actual Comparative Reports Delivered within 100% project milestones
AI/ML Automation Implementation 1 functional workflow per quarter
Digital Twin Deformation Analysis At least 1 demonstrable use case per FY
Visualization / Flythrough Deliverables 100% proposal vs actual video packages
Innovation Process Efficiency 10% reduction in manual QC effort
Client / Stakeholder Feedback 4.5/5 satisfaction rating
Technical Report Submission 100% on-time and client-approved
Team Training 2 skill-development sessions annually

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