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Architect- Computational Design

Architect- Computational Design

Darbhopal, madhya pradesh, in
12 hours ago
Job description

About the job

  • Recruitment Drive : Mumbai
  • Date : 22nd & 23rd November
  • Hiring for Pune Location

Dar, the founding member of the Sidara group, is an international multidisciplinary consulting organization specializing in engineering, architecture, planning, environment, project management, facilities management, and economics. Sidara operates in 60 countries with 20,500 professionals, Dar connects people, places, and communities through innovative solutions to the world's most complex challenges. We deliver projects from inception through completion, embracing challenges to empower communities worldwide. Learn more at Dar Al-Handasah and Sidaracollaborative .

You can also drop your CV at : Pushkar.Paralkar@dar.com | Mona.Hirulkar@dar.com

Interview Process

The Recruitment team will screen all received applications. Candidates whose profiles align as per technical requirement will be shortlisted and invited to participate in the Recruitment Drive.

Job Title : Architect – Computational Designer

Job Summary :

We are looking for a Computational Designer with a background in Architecture and / or Interior Design to join our team. This role focuses on leveraging computational design to enhance creativity, efficiency, and performance in architectural and interior projects. The ideal candidate will have experience working with parametric modelling, automation tools, and performance analysis, ensuring innovative and data-driven design solutions.

Key Responsibilities :

  • Develop tools to optimize design workflows, automate repetitive tasks, and explore generative design possibilities.
  • Collaborate with architects, interior designers, engineers, and other stakeholders to integrate computational methodologies into the design process.
  • Utilize parametric modelling tools such as Rhino + Grasshopper, Dynamo.
  • Create automation solutions using programming languages like C# and Python.
  • Conduct performance analysis to ensure data-driven design decisions.
  • Develop and maintain and standards within the team, ensuring scalability and efficiency.
  • Stay informed on emerging technologies in computational design, automation, AI-driven tools, and digital fabrication to enhance design capabilities.
  • Qualifications & Skills :

  • Education : Bachelor's or Master's degree in Architecture, Interior Design, Computational Design, or a related field.
  • Experience : Minimum 2 years of experience in computational design, architecture, or interior design.
  • Technical Proficiency :
  • Parametric modelling tools : Rhino + Grasshopper, Dynamo, or similar platforms.
  • Programming / Scripting : C#, Python, or visual scripting for automation.
  • BIM integration : Working knowledge of Revit and interoperability between computational tools.
  • Strong understanding of architectural and interior design principles, building systems, materials, and construction techniques.
  • Excellent communication and collaboration skills to work effectively within a multidisciplinary team.
  • Ability to manage multiple projects simultaneously while maintaining high-quality deliverables.
  • A portfolio showcasing computational design projects is a plus.
  • Preferred Skills (Bonus) :

  • Experience with automation and AI-driven tools for design optimization.
  • Knowledge of digital fabrication, material research, or computational geometry.
  • Familiarity with collaborative workflows, data visualization, and interoperability between design software.
  • Understanding of cloud-based computing or scripting for large-scale data processing for design applications.
  • Generate multiple design iterations to evaluate various options and facilitate decision-making processes through computational techniques.
  • Technical interviews :

  • Grasshopper / Dynamo - mandatory
  • Revit & BIM - mandatory
  • C# / Python - preferred
  • Create a job alert for this search

    Design Architect • bhopal, madhya pradesh, in

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