Middle LiDAR Processing Specialist
- Status
- Open
- Remote policy
- Remote
- Employment type
- Not stated
- Salary
- Not stated
- Categories
- LiDAR-Processing, GIS-Specialist, Point-Cloud-Processing, Utility-Infrastructure-Mapping, LIDAR-Specialist, GIS-LiDAR-Specialist, Point-Cloud-Processing-Specialist, Mid-Level-Geospatial-Data-Specialist, Intermediate-3D-Spatial-Data-Analyst
- Tech
- remote-country
- Source
- himalayas
- First observed
- 2026-09-04 17:26 UTC
- Last seen
- 2026-09-04 17:26 UTC
- Source claims posted
- 2026-09-04 16:03 UTC
- Consecutive misses
- 0 of 10
What the posting says
Intetics Inc. is a global technology company providing custom software development, dedicated team building, software quality assessment, and digital solutions.
GIS and LiDAR are among our key areas of expertise, and we work with large-scale spatial and 3D datasets for infrastructure and utility projects.
We are looking for a Middle LiDAR Specialist to join our team and work on projects involving the processing and analysis of aerial LiDAR and point cloud data for utility and power infrastructure.
The role focuses on processing, classifying, and validating LiDAR data, as well as extracting and modeling utility assets such as power lines, conductors, poles, towers, vegetation, and ground features.
Requirements
- 1–4 years of experience with LiDAR / point cloud processing.
- Hands-on experience with point cloud classification and QA/QC.
- Experience working with 3D spatial data.
- Experience with feature extraction from LiDAR data.
- Strong attention to detail and ability to identify data-quality issues.
- Basic/intermediate GIS knowledge.
Nice to Have
Experience with utility, power transmission, or distribution data.
Experience with aerial LiDAR.
Experience working with conductors, poles/towers, vegetation, and ground classes.
Understanding of conductor/catenary modeling and clearance analysis.
Experience with PLS-CADD, TerraSolid/TerraScan, or MicroStation.
Experience with utility asset modeling or powerline mapping.
Originally posted on Himalayas
Quality
- x Salary range stated weight 35%
- + Remote policy stated weight 20%
- + Location stated weight 15%
- + Organisation stated weight 15%
- + Publication date stated weight 15%
Not enough history yet to judge honesty signals.
Timeline
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#573589 2026-09-04 17:26 UTCPublished