Apply principles of physical mechanics and spatial geometry to train and refine AI models designed to analyze construction as-builts and infrastructure components
Assist the software engineering team in translating the physical properties and constraints of utilities into structured algorithmic logic
Test model data validation that cross-referenced sample data and real validations to assist in model training
Collaborate with cross-functional teams to ensure the software's data capture workflows reliably represent complex physical environments

Currently pursuing a degree in Physics, Computer Science, or a related quantitative field
A combined academic background in both Physics and Computer Science, or a related quantitative field
Foundational experience with programming and scripting
An interest in AI, computer vision, or data analysis
A proven ability to break down complex physical concepts and translate them into structured, efficient computational solutions

Summer Intern – Software Engineer

Key skills