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Computational BIM Engineer

Posted December 23, 2025
Full Time

Job Overview

e.construct
We are an engineering firm that specializes in providing elegant engineering solutions for complex challenges. e.construct is a fast-growing firm with 7 offices around the world. At our core, we question how the very nature of how to evolve the structures that we inhabit to increase their performance and value.

we design structures such as bridges, high-rise design, precast concrete engineering and post-tensioning design. The firm's core work is structural engineering; however, e.construct is increasingly holistic at its approach to buildings and it has divisions in MEP, Geotechnical and emerging construction technology such as 3D printing of concrete, technology and 3D laser scanning.

We are a tech startup that is being incubated in the technology lab of e.construct and we employ technology to empower and eventually transform engineering. VAES’s mission is to reduce the amount of raw materials we design in our buildings and bridges by using optimization algorithms and machine learning.

VAES consists of a team of software developers, civil engineers, machine learning experts, architects and graphic designers that builds tools that engineers can use to design and manufacture the next generation of cities.
e.construct
We are an engineering firm that specializes in providing elegant engineering solutions for complex challenges. e.construct is a fast-growing firm with 7 offices around the world. At our core, we question how the very nature of how to evolve the structures that we inhabit to increase their performance and value.

we design structures such as bridges, high-rise design, precast concrete engineering and post-tensioning design. The firm's core work is structural engineering; however, e.construct is increasingly holistic at its approach to buildings and it has divisions in MEP, Geotechnical and emerging construction technology such as 3D printing of concrete, technology and 3D laser scanning.

We are a tech startup that is being incubated in the technology lab of e.construct and we employ technology to empower and eventually transform engineering. VAES’s mission is to reduce the amount of raw materials we design in our buildings and bridges by using optimization algorithms and machine learning.

VAES consists of a team of software developers, civil engineers, machine learning experts, architects and graphic designers that builds tools that engineers can use to design and manufacture the next generation of cities.

Responsibilities:

  • Collaborate with design and project teams to develop BIM models using industry-standard software (e.g., Revit and Dynamo).
  • Utilize computational design tools and scripting languages (e.g., C# and Python) to automate tasks, optimize design processes, and generate geometric forms.
  • Conduct research and stay up to date with advancements in BIM technology, computational design, and parametric modeling.
  • Participate in the continuous improvement of BIM processes and workflows by proposing innovative solutions.
  • Stay up-to-date with latest .NET technologies and APIs releases (e.g., Revit API).

Requirements

  • Education
  • Bachelor’s degree in architecture, Civil Engineering, or a related field.
  • A master’s degree specializing in computational engineering is a plus.
  • Technical Skills
  • Experience in BIM software (e.g., Revit, Rhino)
  • Programming skills in .NET (C#) are required; Python is a plus.
  • Software design skills (e.g., SOLID principles and design patterns) are desirable.
  • Experience with parametric design tools (e.g., Grasshopper, Dynamo) is a plus.
  • Additional Skills
  • Tools Development: Experience developing or contributing to engineering software tools is advantageous.
  • Communication: Strong written and verbal communication skills.
  • Problem-Solving: Excellent analytical and problem-solving abilities.
  • Teamwork: Ability to collaborate effectively with multidisciplinary teams.
  • Adaptability: Willingness to learn new tools, technologies, and industry standards.
  • Time Management: Strong organizational skills and ability to meet deadlines.
  • Professionalism: Commitment to ethical conduct, confidentiality, and innovation in computational engineering.

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