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Point Cloud Modeling Jobs in California (NOW HIRING)

We are looking for a BIM/VDC Engineer who can work at the intersection of BIM modeling, point cloud data, construction documentation, and process automation. This role is ideal for someone who has ...

We are looking for a BIM/VDC Engineer who can work at the intersection of BIM modeling, point cloud data, construction documentation, and process automation. This role is ideal for someone who has ...

We are looking for a BIM/VDC Engineer who can work at the intersection of BIM modeling, point cloud data, construction documentation, and process automation. This role is ideal for someone who has ...

... point cloud analysis, object detection, segmentation, and scene understanding. • Train, optimize, and deploy deep learning models using PyTorch, TensorFlow, or equivalent frameworks on cloud ...

3D Machine Learning Engineer

Irvine, CA · On-site

$150K - $200K/yr

Familiarity with OpenCV and PCL (Point Cloud Library) for classical computer vision and 3D data preprocessing. * Experience training, evaluating, and deploying ML models using cloud infrastructure (e ...

Familiarity with OpenCV and PCL (Point Cloud Library) for classical computer vision and 3D data preprocessing. * Experience training, evaluating, and deploying ML models using cloud infrastructure (e ...

... model performance. Responsibilities : • Annotate visual 3D data (LiDAR/Point Cloud) and 2D camera imagery using bounding boxes, cuboids, polygons, and pixel-level semantic segmentation. • ...

Familiarity with OpenCV and PCL (Point Cloud Library) for classical computer vision and 3D data preprocessing. * Experience training, evaluating, and deploying ML models using cloud infrastructure (e ...

Continue developing skills in point cloud processing, 3D modeling, and geospatial technologies. * Potential for field collection operations. * Gain exposure to advanced surveying technologies and ...

... Tekla models as well as traditional 2D drawing production methods using AutoCAD Ensure civil/structural design meets local, client and industry standards Analyze point cloud, survey data, maps ...

... AI models into tools that are useful and used. You've shipped ML systems end-to-end and at scale ... Explore and manipulate 3D point cloud & mesh data * Own the delivery of technical workstreams

... AI models into tools that are useful and used. You've shipped ML systems end-to-end and at scale ... Explore and manipulate 3D point cloud & mesh data * Own the delivery of technical workstreams

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Point Cloud Modeling information

See California salary details

$23

$62

$86

How much do point cloud modeling jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for point cloud modeling in California is $62.06, according to ZipRecruiter salary data. Most workers in this role earn between $52.88 and $70.67 per hour, depending on experience, location, and employer.

What is point cloud modelling?

Point cloud modelling is a process used in various jobs to create 3D representations from large sets of spatial data points captured by laser scanners or photogrammetry. It involves converting raw point cloud data into detailed 3D models for applications like architecture, engineering, and construction, often requiring skills in specialized software such as AutoCAD or Revit.

What are some typical daily tasks in a Point Cloud Modeling role?

In a Point Cloud Modeling position, your daily tasks often involve processing raw 3D scan data, cleaning and segmenting point clouds, and creating detailed digital models used for construction, design, or analysis. You may collaborate closely with surveyors, architects, or engineers to ensure the accuracy and relevance of your models to project needs. Reviewing project requirements, managing large data sets, and using specialized software are routine. Staying organized and maintaining version control over files is also important in this role. This work can be part of a dedicated modeling team or function as a specialized role within larger engineering or design departments.

What is a Point Cloud Modeling job?

A Point Cloud Modeling job involves processing and converting 3D point cloud data into accurate digital models used in industries like architecture, engineering, and manufacturing. Professionals in this role work with LiDAR or photogrammetry data to create detailed surfaces, meshes, or BIM models. They use specialized software such as AutoCAD, Revit, or CloudCompare to clean, segment, and structure point clouds. This job requires expertise in 3D modeling, spatial analysis, and attention to detail to ensure precision in digital reconstructions.

What jobs in the US pay 300,000 a year?

Point cloud modeling is a specialized skill often used in industries like surveying, engineering, and 3D visualization. Senior roles such as geospatial managers, senior 3D modelers, or technical directors with extensive experience and advanced skills in software like LiDAR processing or CAD can reach or exceed a $300,000 annual salary. High-level positions typically require advanced certifications, leadership responsibilities, and a strong portfolio of complex projects.

Is 3D modeling a high paying job?

Point cloud modeling, a specialized form of 3D modeling, can be a well-paying profession depending on experience, industry, and geographic location. Skilled professionals with expertise in software like AutoCAD, Revit, or LiDAR processing often earn higher salaries, especially in fields such as construction, surveying, and engineering. Salary levels vary but generally reflect the technical skills and demand for 3D point cloud expertise.

What are the key skills and qualifications needed to thrive in the Point Cloud Modeling position, and why are they important?

To thrive in Point Cloud Modeling, you need expertise in 3D data processing, spatial analysis, and a background in surveying, civil engineering, or computer science. Familiarity with tools like Autodesk ReCap, Bentley Pointools, and experience working with LiDAR and laser scanning data are highly valuable, and certification in geospatial or CAD software can be an advantage. Strong attention to detail, problem-solving skills, and effective communication are important for collaborating with multidisciplinary teams. These competencies are critical for producing accurate models, meeting project specifications, and contributing to successful project outcomes in construction, engineering, or mapping industries.

What jobs will no longer exist in 2030?

Point cloud modeling jobs may decline as automation and AI-driven software become more capable of processing 3D data, reducing the need for manual modeling roles. However, roles involving data analysis, quality assurance, and specialized software development are expected to evolve rather than disappear entirely. Staying updated with new tools like LiDAR and 3D modeling software can help professionals adapt to industry changes.
What are the most commonly searched types of Point Cloud Modeling jobs in California? The most popular types of Point Cloud Modeling jobs in California are:
What are popular job titles related to Point Cloud Modeling jobs in California? For Point Cloud Modeling jobs in California, the most frequently searched job titles are:
What job categories do people searching Point Cloud Modeling jobs in California look for? The top searched job categories for Point Cloud Modeling jobs in California are:
Infographic showing various Point Cloud Modeling job openings in California as of July 2026, with employment types broken down into 89% Full Time, 6% Part Time, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $129,089 per year, or $62.1 per hour.

Full-time

Posted 9 days ago


Job description

FieldAI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.

 

We are looking for a BIM/VDC Engineer who can work at the intersection of BIM modeling, point cloud data, construction documentation, and process automation. This role is ideal for someone who has hands-on experience creating and reviewing BIM models from point clouds, understands construction drawings and site conditions, and is excited about improving workflows through automation.

 

You will be responsible for checking BIM models created by our teams, ensuring they are accurate against point cloud data, identifying deviations or modeling issues, and helping build scalable processes to make BIM QA/QC faster, more consistent, and more automated.

 
What You Will Get To Do

BIM Model Review & Quality Control

  • Review BIM models created from point clouds and validate them against source data.

  • Check model accuracy, completeness, geometry quality, classification, naming, and level of detail.

  • Identify missing, misaligned, duplicated, or incorrectly modeled elements.

  • Compare BIM models against point clouds, drawings, and site documentation.

  • Prepare QA/QC reports with actionable feedback for modelers.

  • Ensure models follow project-specific BIM standards, modeling guidelines, and delivery requirements.

 

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, and data gaps.

  • Support workflows for converting existing site conditions into clean BIM models.


Automation & Process Improvement

  • Identify repetitive BIM tasks that can be automated.

  • Support the development of scripts, tools, templates, checklists, and workflows to improve efficiency.

  • Work with product, engineering, and operations teams to translate manual BIM processes into automated or semi-automated workflows.

  • Help create rule-based checks for model validation, including naming, categorization, element properties, geometry issues.


What You Have
  • Bachelor's degree in Civil/Structural Engineering or Architecture

  • 3+ years of experience in BIM modeling, BIM coordination, or scan-to-BIM workflows.

  • Strong experience with Revit and BIM

  • Experience working with point clouds and validating BIM models against reality capture data.

  • Good understanding of construction drawings, building elements, levels, grids, MEP/structural/architectural coordination, and site documentation.

  • Experience with BIM standards, LOD requirements, naming conventions, parameters, and model organization.

  • Experience with scan-to-BIM delivery for commercial, industrial, infrastructure, or large construction projects.

  • Experience with tools such as Navisworks, Recap, CloudCompare, Cyclone, Autodesk Construction Cloud or BIM 360.

What Will Set You Apart 
  • Experience creating automation scripts for BIM workflows using Dynamo, Python, Revit API, or similar tools.

  • Familiarity with IFC, COBie, BIM data standards, or construction asset classification systems.

  • Experience with tools such as Rhino, Grasshopper, or Blender.

Be Part of the Next Robotics Revolution
To tackle such ambitious challenges, we need a team as unique as our vision - innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We're seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators.
 
We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates. 
 
Join us, shape the future, and be part of a fun, close-knit team on an exciting journey!
 
 
We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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