Leidos

Photogrammetrist

St. Louis, MO Full time

Leidos is actively interviewing for a Junior Photogrammetrist to join and grow with our team in St. Louis, MO.

JOBS SUMMARY

Provide the customer with photogrammetry support, to include experience in light Detection and Ranging (LiDAR) processing and analysis or the generation of point clouds from Electro-Optical (EO) imagery, and the co-registration of multi-source datasets.

PRIMARY RESPONSIBILITIES

Assist in producing multi-source remote reconnaissance packages for geodetic survey missions leveraging existing data and services for planned and ad hoc survey missions based on planned and ad hoc yearly requirements under the direction of the senior-level photogrammetric lead.

  • Assist in producing a remote reconnaissance package consistent with relevant SOPs and standards documents as created or designated by senior-level photogrammetric lead with assistance, as needed.
  • Complete packages a minimum of two (2) weeks prior to deployment, unless first notification of the mission falls within that two (2) week timeframe.       
  • Coordinate with customer Requirements Manager, Mission Managers, and Team Leads to ensure accessibility of the package and address any questions about content or usage.
  • Solicit post-deployment feedback on package usability with the Geodetic Surveys Requirements Manager, Mission Manager, Tech Team, and Team Leads, and work with the senior-level photogrammetric lead to refine the process as needed.     
  • Provide input to senior-level photogrammetric revisions of Standard Operating Procedures (SOPs), geodetic standards, and other documentation related to the package generation process.
  • Inform customer Requirements Manager, Mission Managers, and senior-level photogrammetric lead on status and completions.
  • Identify potential data sources or optimization methods for the package generation process.
  • Assist In Identifying data accessibility issues from geographically separated branches, and by teams in the field.

BASIC QUALIFICATIONS       

  • Typically requires a HS diploma and 2 – 3 years of prior relevant experience.

  • Basic knowledge of photogrammetry, LiDAR processing and analysis, and EO point cloud generation.     
  • 1-3 years' experience processing and analyzing LiDAR data or EO point clouds, and documenting precision and error in accordance with existing data standards.
  • Basic experience co-registering multiple data sets to the WGS 84 reference frame and perform statistical analysis to determine the absolute and relative error.
  • Basic experience using QT Modeler, Socet Set, or similar elevation or point cloud processing and analysis software.
  • Basic experience using ESRI ArcGISPro.
  • Knowledge of digital data formats such as vector data, raster data or shape files.
  • Good oral and written communication skills.

PREFERRED QUALIFICATIONS

  • Familiarity with emerging Artificial Intelligence (AI) technologies, tools, and methodologies, and an understanding of their applications and implications within the geospatial and intelligence domains.
  • Geodetic surveying or land surveying experience or coursework.
  • Knowledge of geodetic or statistical principles.    
  • Knowledge of standard customer products.

We’re not looking for perfectly polished resumes or perfect fits. We’re looking for people who break limits, ask hard questions, and don’t wait to be told what’s next. At Leidos, we’re not following the roadmap — we’re redrawing it. 

Original Posting:

November 5, 2025

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:

Pay Range $57,850.00 - $104,575.00

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.