Structural and civil engineering consulting for infrastructure and transport projects
SSF Ingenieure is a Munich-based structural engineering consultancy founded in 1971, focused on bridges, tunnels, railways, and highways across German-speaking markets. The tech stack reveals a traditional engineering workflow—AutoCAD, Revit, Allplan, and SOFiSTiK for design and structural analysis—paired with emerging BIM coordination tools (Navisworks, Solibri) and modern web backends (Python, Angular, TypeScript, SQL Server). The engineering-dominant hiring mix (42 of 46 active roles) and project portfolio (BIM-based bridge/tunnel design, rail infrastructure planning, construction oversight) indicate a firm scaling specialized technical capacity rather than expanding into new service lines.
SSF Ingenieure AG is a consulting engineering firm specializing in structural, civil, and geotechnical design for complex construction projects. The company serves primarily German infrastructure clients across bridges, tunnels, railways, highways, and industrial facilities. Core service areas include structural analysis, design planning, construction management, and specialized infrastructure projects. The firm operates as a public company with 201–500 employees, hiring steadily in Germany with a strong emphasis on mid-to-senior engineering roles. Current project activity centers on BIM-integrated bridge and tunnel design, rail infrastructure planning, traffic and transportation infrastructure, and construction supervision.
AutoCAD, Revit, Allplan, SOFiSTiK (structural analysis), Navisworks, and Solibri (BIM coordination). Backend systems include Python, SQL Server, PostgreSQL, Angular, and ASP.NET Core for internal tools and SCADA integration.
BIM-based bridge and tunnel design, rail infrastructure planning and control systems, highway and transport infrastructure coordination, and construction supervision for complex civil engineering works.
SSF Ingenieure AG'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.