The Technical Customer Support role is crucial for providing high level technical assistance to end users, field engineers, and technicians specifically dealing with UAV photogrammetry and mapping workflows. This role involves diagnosing, troubleshooting, and debugging complex processing errors in sophisticated cloud and desktop based photogrammetry software.
You will be a key player in addressing issues where primary product support has not resolved software problems, particularly regarding spatial inaccuracies, alignment failures, and coordinate system mismatches. Additionally, you will contribute to product improvement by reporting design and reliability issues related to the photogrammetry engine and user interface. You will serve as a vital liaison between dealers, customers, and Trimble, providing enterprise level support for geospatial products and services.
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Problem Analysis and Reporting: Identify root causes of systematic errors in mission data and report bugs to the engineering teams.
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Customer Installation and Training: Assist customers in setting up workflows for RTK/PPK data integration and Ground Control Point (GCP) management.
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Documentation and Knowledge Sharing: Create FAQs and troubleshooting guides focused on best practices for mission correction.
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Advanced Technical Support: Resolve complex photogrammetry processing failures, including doming effects, holes in meshes, and stitching errors.
What Skills & Experience You Should Bring
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Bachelors degree in Geomatics, Civil Engineering, GIS, or a relevant technical field.
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Exceptional troubleshooting skills regarding spatial data and 3D modeling.
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Ability to work in different shifts, including night shifts, to support global regions.
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Proven experience or willingness to upskill in providing technical support for complex computer systems or photogrammetry software (e.g., Trimble Business Center, UASMaster, Applanix, Pix4D)
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Practical experience or willingness to upskill domain knowledge in civil construction and earthworks to understand customer goals like calculating earth movements, measuring materials, generating surfaces, etc.
Technical Skills
Product Knowledge: In-depth understanding of GIS, photogrammetry principles, including bundle block adjustment, orthomosaic generation, and point cloud densification.
Manual Data Processing and Correction: The ability to take over and manually re-process jobs that fail the initial cloud automation. This involves understanding the processing parameters and adjusting settings to achieve a successful outcome when the automated engine cannot.
Point Cloud Cleanup and Editing: Proficiency in manually manipulating point clouds. This includes using software tools to clean up noise and remove erratic objects like vegetation spikes, equipment, vehicles, and poorly classified stockpiles that the automated AI failed to segment properly.
Data Preparation and Quality Assurance (QA): Skills in data preparation and providing QA services. This requires the ability to read and interpret QA processing reports such as analyzing image quality histograms, checking image overlap, and diagnosing Ground Control Point (GCP) X/Y/Z error tables to troubleshoot why a job failed or yielded poor results.
Expertise in Desktop Surveying Software: Proficiency in advanced desktop software like Trimble Business Center (TBC) or UASMaster. Support staff often need to pull data down from the cloud into these robust environments to perform advanced geodetic adjustments, complex editing, or manual calculations that cloud automation cannot handle.
Drone Data Capture Consultation and Training: Support is not just software based; it requires field expertise. Support personnel need drone piloting knowledge to train customers on how to capture better data e.g., ensuring proper image overlap, lighting, and correct camera angles) so that future automated processing succeeds.
Ground Control Point (GCP) Troubleshooting: The ability to identify when processing fails due to missing, misplaced, or poorly measured GCPs, and knowing how to correct these geospatial referencing issues.
Technical Writing: Proficiency in documenting resolutions for complex salvaged missions and creating user guides.
AI Utilization: Basic knowledge of AI to train agents with support documents for automated troubleshooting of common mapping errors.
Infrastructure & Networking: Understanding of Azure/AWS cloud environments and monitoring tools (e.g., Grafana) to troubleshoot cloud-processing bottlenecks.
Scripting/Programming: Basic understanding of Programming languages to develop support tools or scripts for automated data cleaning.
Microservices/APIs: Use of tools like Postman to invoke APIs involved in cloud-based photogrammetry processing services.
Domain Expertise
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.