Senior Lidar Systems & Geospatial Engineering Lead

This role provides technical leadership for lidar system characterization, quality assurance, accuracy assessment, and advanced geospatial analysis, with emphasis on large-scale airborne lidar programs such as the USGS managed 3D Elevation Program (3DEP). The lead will develop rigorous, scalable methods for evaluating point-cloud quality, density, spatial consistency, and elevation accuracy, and will write and publish results for peer-reviewed publications while participating in professional organizations and conferences.

Responsibilities

• Lead technical QA/QC and characterization of airborne lidar datasets and derived elevation products against 3DEP, ASPRS, contractual, and project-specific requirements.
• Develop and implement advanced methods for evaluating lidar point density, spatial distribution, completeness, and localized deficiencies, including point-based and Voronoi-based density approaches.
• Perform vertical accuracy assessments using GNSS, total-station, terrestrial laser scanning, UAS, and other independent reference datasets; evaluate bias, RMSE, variability, and spatial error patterns and metrics.
• Investigate lidar anomalies and determine whether observed deficiencies are associated with acquisition, calibration, classification, processing, or product-generation workflows.
• Develop scalable Python-based tools for processing tens of millions of points per tile and thousands of production datasets using libraries such as NumPy, SciPy, GeoPandas, Shapely, PDAL, laspy, and Rasterio.
• Design automated QA/QC workflows, acceptance metrics, statistical summaries, density histograms, spatial deficiency maps, and project-level exception reporting.
• Conduct applied research to improve lidar quality metrics and evaluate limitations of conventional raster-based density and accuracy assessment methods.
• Perform sensitivity analyses addressing point-return selection, edge effects, spatial resolution, density thresholds, and algorithm configuration.
• Support development and interpretation of ASPRS lidar density and positional accuracy standards and related industry guidance.
• Evaluate emerging airborne, terrestrial, UAS, and spaceborne lidar technologies and their potential application to national-scale 3D mapping programs.
• Provide technical review of methodologies, specifications, statements of work, contractor deliverables, and research products.
• Lead and mentor multidisciplinary teams of scientists, engineers, analysts, and software developers and communicate complex technical findings to program managers, government stakeholders, industry partners, and researchers.
• Work with USGS representatives at EROS and the National Geospatial Technical Operations Center (NGTOC) to incorporate lidar data quality products and processes into standards and specifications.
• Support ECCOE System Characterization team with commercial data quality analysis

Requirements

• Minimum of MS in physics, mathematics, remote sensing, geospatial science, geomatics, environmental science, or a related field; PhD preferred
• 8+ years of progressive, lidar-related experience
• Fundamental programming skills

Nice to have

• Airborne Lidar
• 3DEP QA/QC
• ASPRS Standards
• Point Density & Spatial Distribution
• Voronoi Analysis
• Vertical Accuracy
• GNSS/TLS/Total Station Validation
• Point-Cloud Processing
• DEMs & Terrain Analysis
• Python Geospatial Development
• PDAL/laspy/LASTools
• Large-Scale Data Processing
• Algorithm Development
• System Characterization
• Technical Leadership
• Strong Communication Skills

Benefits

• KBR offers a selection of competitive lifestyle benefits which could include 401K plan with company match, medical, dental, vision, life insurance, AD&D, flexible spending account, disability, paid time off, or flexible work schedule. We support career advancement through professional training and development.​