Infrastructure design and engineering for transportation and water projects
Egis operates a U.S. arm of a 20,000-person international engineering firm focused on transportation, water, and environmental infrastructure. The tech stack is heavily weighted toward CAD and visualization tools (Revit, Civil 3D, Navisworks, MicroStation, AutoCAD) with emerging industrial IoT and systems engineering layers (SCADA, OPC, MQTT, IEC 62443, SysML), suggesting a shift from pure design toward operational systems integration. Current hiring skews engineering and design with senior-to-manager emphasis, aligned with active work on complex rail, highway, and water projects.
Egis U.S. is the U.S. subsidiary of an international architecture and engineering firm headquartered in Indianapolis with 51–200 employees. The firm provides consulting, design, and construction engineering services across transportation (rail, highways, bridges), water resources, environmental services, and right-of-way acquisition. Active projects include major California high-speed rail work, complex highway interchanges, and major river crossings. The business spans the full project lifecycle from planning and permitting through construction observation and operational readiness.
Primary tools include Revit, Civil 3D, AutoCAD, Navisworks, and MicroStation for design workflows. Visualization and rendering work uses SketchUp, Rhino, 3ds Max, Lumion, and V-Ray. Adobe Creative Suite covers graphics and documentation.
Major projects include California High-Speed Rail (CHSR) program work, complex highway interchanges, major river crossings, conventional grade separations, and right-of-way acquisition valuations for transportation projects.
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Egis in the U.S.'s technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.