Posting Description
BUILDING INFORMATION MODELING (BIM) & SPACE SPECIALIST FACILITIES INFORMATION SYSTEMS (FIS)Office of Campus Planning (OCP) will conduct continual field audits covering 200 buildings and 14M square feet to maintain accurate floor plans and room uses to support MITs space accounting system; conduct as-needed audits to support updates of other data sets managed by FIS; translate construction drawings for capital projects renovations and space changes ensuring alignment with as-built conditions in the field; review AEC drawings from capital and renovation projects in order to build space accounting floor plans; collaborate with the BIM/CAD Administrator during project phases; create 2D and 3D floorplans using BIM and CAD software; and provide CAD drafting and GIS support for various FIS data sets.
A full job description is available here:
Job Requirements
REQUIRED: A minimum of three years of related experience; knowledge of ESRI software; experience using AutoCAD and BIM software in a facilities production environment; familiarity with architectural and engineering terminology and experience working with architectural and construction drawings; understanding of the design and construction process; demonstrated organizational and time management skills; strong communications and organizational skills and attention to detail; ability to manage data sets in a GIS environment take field measurements and translate into CAD/BIM or other design software handle requests and people with diplomacy and interact effectively with a diverse group of customers; read and interpret (architectural mechanical electrical) drawings; and work independently and function effectively within a team-oriented environment. PREFFERED: Bachelors degree in architecture engineering project management or related field; two to three years of practical experience in AutoCAD/BIM technology; knowledge of ArcGIS Pro.
Work requires traversing long distances and moving from site to site.
9/25/2025
Required Experience:
IC
The MIT Media Lab is an interdisciplinary research lab that encourages the unconventional mixing and matching of seemingly disparate research areas.