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Point Cloud Jobs (NOW HIRING)

Point Cloud Registration & Processing (primary focus) * Import, register, and QC scan projects in Leica Register360 and Cyclone -- this is the core, day-to-day responsibility of the role. * Support ...

$90 - $130/hr

Point Cloud to BIM Workflows * Work with point cloud data from LiDAR scans, 360 captures, or reality capture systems. * Understand scan registration quality, point cloud density, alignment issues ...

New

Point Cloud to BIM Workflows * Work with point cloud data from LiDAR scans, 360 captures, or reality capture systems. * Understand scan registration quality, point cloud density, alignment issues ...

Experience with 2D/3D data analysis, including point cloud processing and image annotation. * Proficiency in Python and relevant libraries (e.g., OpenCV, PCL, NumPy). * Familiarity with 3D geometry ...

BIM/VDC Engineer

Irvine, CA · On-site

$80 - $110/hr

Point Cloud to BIM Workflows * Work with point cloud data from LiDAR scans, 360 captures, or reality capture systems. * Understand scan registration quality, point cloud density, alignment issues ...

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Point Cloud information

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$61

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How much do point cloud jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for point cloud in the United States is $61.71, according to ZipRecruiter salary data. Most workers in this role earn between $54.09 and $74.04 per hour, depending on experience, location, and employer.

What is a point cloud?

A Point Cloud job involves working with 3D data representations of physical spaces, typically generated from LiDAR scans or photogrammetry. Professionals in this field process, analyze, and manipulate point cloud datasets for applications in construction, engineering, surveying, and mapping. They use specialized software to clean, classify, and convert raw point cloud data into useful models or visualizations. This role often requires expertise in 3D modeling, GIS, or CAD software, along with a strong understanding of spatial data.

What are the typical daily responsibilities of a point cloud specialist?

As a Point Cloud Specialist, your daily tasks often include processing and analyzing raw 3D data from LiDAR or photogrammetry sources, cleaning and aligning point clouds, and converting them into usable models or maps. You’ll collaborate closely with surveyors, engineers, or architects to ensure your data meets project requirements and integrates smoothly with other digital assets. Attention to quality control and detail is important, as your deliverables often form the foundation for design, construction, or spatial analysis work. In addition, you might be tasked with troubleshooting data inconsistencies or optimizing workflows to improve efficiency and accuracy.

What are the key skills and qualifications needed to thrive in the point cloud position, and why are they important?

To thrive as a Point Cloud Specialist, you need a strong foundation in 3D spatial data processing, knowledge of surveying principles, and experience with geospatial software, often supported by a degree in geomatics or a related field. Familiarity with tools such as LiDAR scanners, point cloud processing software (like Autodesk ReCap or CloudCompare), and CAD/GIS systems is essential. Attention to detail, analytical problem-solving, and effective communication are key soft skills for success in this role. These competencies are crucial for producing accurate and actionable 3D models that support engineering, construction, or mapping projects.

More about Point Cloud jobs

What are the most commonly searched types of Point Cloud jobs?

The most popular types of Point Cloud jobs are:

What states have the most Point Cloud jobs?

States with the most job openings for Point Cloud jobs include:

Infographic showing various Point Cloud job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 12% Part Time, and 12% Contract. Highlights an 84% In-person, and 16% Remote job distribution, with an average salary of $128,365 per year, or $61.7 per hour.

AI Engineer - Point Cloud to CAD Automation (Confidential Pilot Project)

Saviance

Remote

Full-time

Re-posted 19 days ago


Job description

Job Summary:
Saviance is a technology consulting firm based in Boston, MA, specializing in software solutions including AI integrations. They are seeking an AI Engineer to lead a confidential project focused on transforming point-cloud data into engineering deliverables through AI and 3D computer vision.
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.
Qualifications:
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 is a modern consulting firm providing a variety of professional services to its clients in the US. Founded in 1999, the company is headquartered in Metuchen, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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About Saviance

Sourced by ZipRecruiter

Saviance is a modern consulting firm providing a variety of professional services to its clients in the US. We bring twenty three years of experience to the table. Our consultants are qualified experts and extremely talented. We understand the business behind the technology, and work with many of the top Fortune 100 companies and provide innovative, scalable, robust and secure solutions. At the forefront of the Staffing and IT Solutions industry, Saviance is certified by NMSDC as a Tier 1, Minority Business Enterprise (MBE) . We are a self- certified Small Business and self- certified Woman Owned Business committed to maximizing global workforce solutions on behalf of our clients, empowering businesses and talent through applied human intelligence. We are a Diversity Supplier with global reach specializing in a business services blend of talent, technology, and a relentless commitment to customer success. It’s our diversity that’s acts as a core component of our culture, our approach to business, and the opportunities we provide to our clients and our employees.

Industry

It services

Company size

201 - 500 Employees

Headquarters location

East Rutherford, NJ, US

Year founded

1999

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