Royce Schultz is a software engineer with eight years of experience building mission-critical systems across geospatial, autonomous vehicle, and satellite-ground domains. He holds an MS in Computer Science from NYU and has delivered high-impact tooling—from 3D web visualizations and distributed data pipelines for TuSimple to calibration and real-time telemetry systems at Maxar that enabled 5-meter geolocation accuracy. Now at Palantir, he applies his expertise in computational geometry, GIS, and fault-tolerant architectures to complex, secure operational software. Comfortable in both research and production environments, Royce blends low-level algorithmic work with full-stack product delivery, and has a track record of processing terabytes of map and telemetry data for validation and operations. An uncommon strength is his end-to-end experience spanning CNC-like precision in spatial data up to large-scale satellite mission software.
8 years of coding experience
3 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at New York University
Bachelor of Science - BS Computer Science Minor in Applied Math, Bachelor of Science - BS Computer Science Minor in Applied Math at University of Colorado
Flint Hill School
Professional Program Artificial Intelligence, Professional Program Artificial Intelligence at Stanford University
Estimate power output given GPS data of a bike ride.
Contributions:21 commits, 1 PR, 8 pushes in 1 year 2 months
bikegpsgps-dataestimatepower
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Royce Schultz - Software Engineer at Palantir Technologies