Water infrastructure design and construction for dams, hydropower, and flood control
McMillen designs and builds water resource and energy infrastructure—dams, hydropower facilities, pump stations, flood control systems, and bridge work. The stack is heavily Autodesk-centric (Civil 3D, Revit, Navisworks, BIM 360) paired with specialized hydraulic and structural analysis tools (HEC-RAS, ANSYS, LS-DYNA, Rocscience SLIDE), reflecting deep engineering rigor for high-consequence projects. Hiring is overwhelmingly senior engineering roles (99 of 131 open positions), with pain points clustered around proposal velocity and win rates—signals of a sales-execution bottleneck in a complex, long-cycle business.
McMillen is a 201–500-person design-build firm headquartered in Boise, Idaho, founded in 2004. They deliver engineering and construction services for water resources, hydropower, dam rehabilitation, dam safety, and related civil infrastructure projects. Active work spans bridge construction, dam removal, pump stations, flood control, and hydroelectric facilities. The company operates across the United States and Canada. Their operational footprint—senior-heavy hiring, deep CAD/BIM tooling, and specialized simulation software—suggests execution-intensive project delivery with high technical and safety standards.
McMillen's primary stack includes Autodesk Civil 3D, Revit, Navisworks, and BIM 360 for design and coordination. Hydraulic and structural analysis rely on HEC-RAS, ANSYS, LS-DYNA, ABAQUS, Rocscience SLIDE, and MATLAB. Bluebeam Revu handles plan management; Procore and Oracle Primavera manage construction logistics.
McMillen's active projects include dam design and removal, hydropower facilities, pump stations, flood control systems, bridges, fish hatcheries, and dam safety and rehabilitation work. Current focus includes complex hydraulic structure design and multi-disciplinary coordination for large water infrastructure.
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McMillen'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.