Computational BIM Engineer

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.
VAES.ai
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.
We are seeking a highly motivated and talented Computational BIM Engineer to join our team.
As a Computational BIM Engineer, you will play a key role in leveraging Building Information Modeling (BIM) technologies and computational design methodologies to enhance our architectural and construction projects.
In this role, you will contribute to the development of cutting-edge software tools that automate BIM tasks and perform complicated calculations.
This is an exciting opportunity for an individual passionate about the intersection of technology, design, and construction.

Responsibilities:

• Collaborate with design and project teams to develop, automate, and optimize parametric BIM models using Revit, Rhino, and computational tools such as Dynamo, Grasshopper, Python, and .NET.
• Utilize computational design tools and scripting languages (e.g., C# and Python) to automate tasks, optimize design processes, and generate geometric forms.
• Assist in the creation and management of BIM libraries, parametric templates, and standards, incorporating automation and computational workflows.
• Support interdisciplinary BIM coordination by leveraging computational tools and clash detection workflows to optimize project delivery.
• Collaborate with external consultants, contractors, and stakeholders to ensure effective BIM information exchange.
• Support BIM workflows and standards by developing computational tools, templates, and automation processes that enhance project efficiency.
• 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.
• Contribute to the development and delivery of BIM and computational design training.
• Participate in continuous improvement of BIM and computational workflows through innovative automation and optimization.
• Stay up to date with latest.NET technologies and APIs releases (e.g., Revit API).
• Take ownership of computational tools, templates, and workflows by monitoring, troubleshooting, and updating them to ensure automation remains effective.

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.