Lidar Systems & Geospatial Engineering Lead

KBR Careers

Sioux Falls (SD)

Hybrid

USD 120,000 - 180,000

Full time

21 hours ago

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Benefits offered by this job

401K plan with company match

Medical insurance

Dental insurance

Vision insurance

Life insurance

AD&D

Flexible spending account

Disability insurance

Paid time off

Flexible work schedule

Job summary

KBR's Science and Space Division seeks a Senior Lidar Systems & Geospatial Engineering Lead to provide technical leadership in lidar system characterization, QA/QC, accuracy assessment, and scalable geospatial analysis for large-scale airborne lidar programs such as 3DEP.

The role emphasizes Python-based tooling, development of advanced evaluation methods, and mentorship of multidisciplinary teams. Hybrid remote/onsite in Sioux Falls, SD with US residency requirements.

Qualifications

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

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