1

Point Cloud Jobs in Texas (NOW HIRING)

Experience working with vector, raster, point-cloud, and sensor datasets. * Excellent analytical, communication, and stakeholder management skills. Roles & Responsibilities * Design and develop ...

Experience working with vector, raster, point-cloud, and sensor datasets. * Excellent analytical, communication, and stakeholder management skills. Roles & Responsibilities * Design and develop ...

Experience working with vector, raster, point-cloud, and sensor datasets. * Excellent analytical, communication, and stakeholder management skills. Roles & Responsibilities * Design and develop ...

TX · On-site

Experience working with vector, raster, point-cloud, and sensor datasets. * Excellent analytical, communication, and stakeholder management skills. Roles & Responsibilities * Design and develop ...

Experience working with vector, raster, point-cloud, and sensor datasets. * Excellent analytical, communication, and stakeholder management skills. Roles & Responsibilities * Design and develop ...

Experience working with vector, raster, point-cloud, and sensor datasets. * Excellent analytical, communication, and stakeholder management skills. Roles & Responsibilities * Design and develop ...

Experience working with vector, raster, point-cloud, and sensor datasets. * Excellent analytical, communication, and stakeholder management skills. Roles & Responsibilities * Design and develop ...

Senior Cloud Network Engineer

Dallas, TX · On-site

$102K - $141K/yr

Develop, implement, and manage policies on Check Point cloud firewalls and Cisco ASA firewalls. * Architect and deploy F5 ASM policies to secure web applications against threats including: SQL ...

Senior Cloud Network Engineer

Dallas, TX · On-site

$103K - $141K/yr

Develop, implement, and manage policies on Check Point cloud firewalls and Cisco ASA firewalls. * Architect and deploy F5 ASM policies to secure web applications against threats including: SQL ...

Reverse engineering (Scan-to-CAD, Point Cloud-to-Model). * Manufacturing process knowledge (Injection Molding, Sheet Metal, CNC Machining, Casting). * CAD model auditing. * CAD automation and ...

Process and analyze point cloud data to generate accurate client deliverables * Validate data quality and ensure compliance with project specifications * Collaborate with internal teams to optimize ...

Reverse engineering (Scan-to-CAD, Point Cloud-to-Model). * Manufacturing process knowledge (Injection Molding, Sheet Metal, CNC Machining, Casting). * CAD model auditing. * CAD automation and ...

Reverse engineering (Scan-to-CAD, Point Cloud-to-Model). * Manufacturing process knowledge (Injection Molding, Sheet Metal, CNC Machining, Casting). * CAD model auditing. * CAD automation and ...

Reverse engineering (Scan-to-CAD, Point Cloud-to-Model). * Manufacturing process knowledge (Injection Molding, Sheet Metal, CNC Machining, Casting). * CAD model auditing. * CAD automation and ...

Point cloud reconstruction pipelines * Mesh generation and texturing workflows * OpenGL-based visualization components Windows Software & C# Integration * Integrate GPU-accelerated algorithms into an ...

Showing results 21-40

Point Cloud information

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.

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

The most popular types of Point Cloud jobs in Texas are:

What job categories do people searching Point Cloud jobs in Texas look for?

The top searched job categories for Point Cloud jobs in Texas are:

Infographic showing various Point Cloud job openings in Texas as of August 2026, with employment types broken down into 79% Full Time, 11% Part Time, and 10% Contract. Highlights an 87% In-person, and 13% Remote job distribution.

Full-time

Posted 7 days ago


Job description

Required Skills
  • 10+ years of hands-on experience in Applied Data Science, Analytics Engineering, and Systems Modeling.
  • 5+ years of client-facing, consulting, or business development experience delivering analytics solutions.
  • Expertise in statistical modeling, machine learning, and predictive analytics.
  • Strong proficiency with Python, scikit-learn, statsmodels, PyTorch, and TensorFlow.
  • Experience in time-series forecasting, causal inference, feature engineering, and advanced data sampling/resampling techniques.
  • Strong expertise in geospatial analytics and LiDAR data processing.
  • Hands-on experience with ArcGIS, PostGIS, GeoPandas, GDAL/OGR, PDAL, and related geospatial libraries.
  • Experience working with vector, raster, point-cloud, and sensor datasets.
  • Excellent analytical, communication, and stakeholder management skills.
Roles & Responsibilities
  • Design and develop advanced machine learning and statistical models to solve complex business problems.
  • Build predictive models, time-series forecasting solutions, and causal inference frameworks.
  • Perform feature engineering, data preparation, and advanced sampling techniques for large-scale datasets.
  • Develop geospatial analytics and LiDAR processing solutions using industry-standard tools and libraries.
  • Analyze vector, raster, point-cloud, and sensor data to generate actionable insights.
  • Partner with business stakeholders to scope, design, and deliver data science solutions.
  • Present analytical findings and recommendations to technical and business audiences.
  • Optimize model performance, scalability, and deployment in production environments.
  • Mentor data scientists and promote best practices in analytics and machine learning.
  • Support innovation initiatives through advanced analytics and AI-driven solutions.