Saviance · 2 months ago
AI Engineer – Point Cloud to CAD Automation (Confidential Pilot Project)
Boston, MA
Full-time
Hybrid
Senior Level
5+ years expSaviance is a technology consulting firm based in Boston, MA, and they are seeking an AI Engineer to work on a confidential pilot project. The role involves designing, prototyping, and implementing workflows that transform point-cloud data into CAD outputs using AI and 3D computer vision techniques.
Information Technology & Services
Responsibilities
Lead the technical design and implementation of a workflow that transforms point-cloud data (e.g., E57, LAS, RCS) into usable CAD or isometric drawing outputs
Develop or fine-tune AI/ML models for:
Segmentation and classification of 3D objects (e.g., piping, equipment, structure)
Feature extraction and geometry reconstruction (centerlines, fittings, junctions)
Build the supporting data pipeline: ingestion, filtering, model inference, and output generation
Evaluate and integrate available open-source or commercial libraries (Open3D, PCL, CloudCompare, PyTorch3D, etc.)
Collaborate with a domain Subject Matter Expert (SME) to align the automation outputs with real-world engineering drawing conventions
Document technical architecture, model training processes, and pilot results
Present findings and propose next steps for scaling or production use
Qualification
Required
5+ years of experience in 3D computer vision, point-cloud processing, or spatial AI
Strong Python programming experience and familiarity with modern 3D frameworks such as Open3D, PCL, PDAL, PyTorch3D, MinkowskiEngine, PointNet/PointNet++
Demonstrated ability to extract and model geometry from unstructured 3D data
Experience integrating AI models with CAD or 3D modeling platforms (AutoCAD, Revit, Plant 3D, SolidWorks, or similar)
Understanding of 2D/3D geometry projection and automated drawing generation workflows
Strong data-engineering fundamentals for building reliable, scalable processing pipelines
Preferred
Prior experience in as-built modeling, scan-to-CAD, or digital-twin applications
Background in mechanical, civil, or process engineering disciplines
Familiarity with industrial facility modeling standards or engineering documentation practices
Experience developing or deploying AI models for 3D segmentation and object recognition
Cloud or GPU training experience (AWS, Azure, or GCP)
Comfortable operating in an R&D or prototype environment with limited pre-existing datasets
Company
Saviance
Saviance is a modern consulting firm providing a variety of professional services to its clients in the US.
201-500 employees
Funding
Current Stage
Growth StageLeadership Team
Rohit M.
Managing Partner
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