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3D Lidar Segmentation Jobs (NOW HIRING)

FieldAI

3D Machine Learning Engineer

Irvine, CA

Analyze diverse sensor inputs, including RGBD imagery, LiDAR point clouds, 360 photos, audio, and ... segments. Be Part of the Next Robotics Revolution We are looking for builders who want their work ...

FieldAI

3D Machine Learning Engineer

Irvine, CA

Analyze diverse sensor inputs, including RGBD imagery, LiDAR point clouds, 360 photos, audio, and ... segments. Be Part of the Next Robotics Revolution We are looking for builders who want their work ...

FieldAI

3D Machine Learning Engineer

Irvine, CA · On-site

Analyze diverse sensor inputs, including RGBD imagery, LiDAR point clouds, 360 photos, audio, and ... segments. Be Part of the Next Robotics Revolution We are looking for builders who want their work ...

FieldAI

3D Machine Learning Engineer

Irvine, CA · On-site

Analyze diverse sensor inputs, including RGBD imagery, LiDAR point clouds, 360 photos, audio, and ... segments. Be Part of the Next Robotics Revolution We are looking for builders who want their work ...

Field AI

3D Machine Learning Engineer

Irvine, CA

Analyze diverse sensor inputs, including RGBD imagery, LiDAR point clouds, 360 photos, audio, and ... segments. Be Part of the Next Robotics Revolution We are looking for builders who want their work ...

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3D Lidar Segmentation information

What are some common challenges faced by professionals working in 3D LiDAR segmentation, and how are they typically addressed?

Professionals in 3D LiDAR segmentation often encounter challenges such as dealing with noisy or incomplete data, managing large-scale datasets, and ensuring accurate object classification in complex environments. These challenges are commonly addressed through advanced preprocessing techniques, robust machine learning algorithms, and leveraging high-performance computing resources. Collaboration with data engineers, software developers, and domain experts is also essential to refine segmentation models and improve overall system performance.

What are the key skills and qualifications needed to thrive as a 3D Lidar Segmentation Specialist, and why are they important?

To thrive as a 3D Lidar Segmentation Specialist, you need a strong background in computer vision, machine learning, and point cloud data processing, often supported by a degree in computer science, engineering, or related fields. Familiarity with tools such as Python, C++, ROS, and libraries like PCL and Open3D, as well as experience with deep learning frameworks (e.g., TensorFlow, PyTorch), is essential. Analytical thinking, attention to detail, and effective problem-solving are crucial soft skills for interpreting complex data and collaborating in multidisciplinary teams. These competencies ensure accurate scene understanding, efficient workflow, and the development of robust solutions for applications like autonomous vehicles and robotics.

What is 3D Lidar segmentation?

3D Lidar segmentation is the process of dividing or clustering raw Lidar point cloud data into meaningful parts or objects, such as vehicles, pedestrians, buildings, or vegetation. This technique is crucial for applications like autonomous driving, mapping, and robotics, where understanding the environment in three dimensions is essential. By segmenting the data, algorithms can better identify and track objects, enabling safer navigation and more detailed scene analysis.
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3D Lidar Segmentation jobs near you
3D LiDAR Scanner

3D LiDAR Scanner

Precision Measurements Inc

Virginia Beach, VA • On-site

Full-time

Posted 4 hours ago

Job description

Job Title: 3D LiDAR Scanning Technician

Location: Virginia Beach, VA

Schedule: Full-time, Monday–Friday, 8:00 AM–5:00 PM

________________________________________

Key Responsibilities

Field Operations
  • Operate terrestrial laser scanners (e.g., tripodbased LiDAR units) and/or mobile LiDAR systems
  • Set up control using GPS/GNSS and/or total stations
  • Perform site reconnaissance and scanning plan development
  • Execute scans with proper overlap, coverage, and resolution
  • Ensure proper target placement and registration control
  • Maintain field notes, metadata, and daily reports
  • Follow safety protocols and jobsite requirements
    • Data Processing
  • Register and align point clouds using software such as Trimble RealWorks, Leica Cyclone, or Autodesk ReCap
  • Clean, classify, and segment point cloud data
  • Generate deliverables such as: o3D surface models
  • CAD drawings (plans, sections, elevations) oMeshes and BIM-ready datasets
  • Perform QA/QC checks to ensure accuracy and completeness
    • Project Coordination
  • Collaborate with surveyors, engineers, and project managers
  • Interpret project specifications and scope requirements
  • Assist in scheduling fieldwork and deliverables
  • Communicate progress, issues, and data limitations

    • ________________________________________

    Required Qualifications
  • Associate’s or Bachelor’s degree in Surveying, Geomatics, Engineering Technology, or related field (or equivalent experience)
  • 2+ years of experience with LiDAR scanning or land surveying (preferred)
  • Familiarity with coordinate systems, datums, and control networks
  • Experience with point cloud processing software
  • Ability to read plans and interpret technical drawings

    • ________________________________________

    Technical Skills
  • Operation of LiDAR scanners (terrestrial, mobile, or UAVbased)
  • GNSS/GPS data collection and control workflows
  • CAD software such as AutoCAD Civil 3D or MicroStation
  • Understanding of point cloud formats (.LAS, .RCP, .E57, etc.)
  • Knowledge of photogrammetry (a plus)

    • ________________________________________

    Physical Requirements
  • Ability to work outdoors in various weather conditions
  • Capable of lifting and carrying equipment (3050 lbs)
  • Travel to job sites as required

    • ________________________________________

    Soft Skills
  • Strong attention to detail and accuracy
  • Problemsolving and troubleshooting skills
  • Good communication and teamwork
  • Time management and ability to meet deadlines

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