Computational Design Internship


About the internship

Internship Type:

Full-time

Stipend:

Rs. 10000 - 0 (Not Specified)

Location:

Delhi

Duration:

3 Month

Internship Start:

April 17, 2025 - November 30, -0001

Description:


1. Develop parametric models and logic systems using BeeGraphy or similar tools
2. Co-create educational content such as blogs, tutorials, and use-case breakdowns
3. Provide input on how to visually explain design workflows for social media and workshops
4. Help build and render a public library of models to showcase on our platform
5. Work with UI/UX designers on demos that highlight real-world applications
6. Translate complex modeling workflows into simplified design logic for broader audiences

Total Positions:

1

Applicant Applied:

0

Views:

28

Industry:

Other

Posted Date:

April 17, 2025

About the Company

Company Name:

BeeGraphy

Company Description:

Beegraphy is a pioneering cloud-based platform designed to empower computational designers by providing tools that streamline and elevate the design process. Founded in 2021 by a team of engineers, designers, and mathematicians, Beegraphy addresses the unique challenges faced by computational designers, especially during the pandemic. With a focus on accessibility and collaboration, the platform enables users to work on complex, parametric, and customizable designs directly in their browser, supporting various applications across architecture, product design, and education. By fostering a vibrant community and offering resources like tutorials, competitions, and workshops, Beegraphy aims to make computational design more accessible and push the boundaries of digital creativity.\r\n\r\nAdditional information:Work on real campaigns seen by a global creative audience.\r\nCollaborate with a team that values design, experimentation, and storytelling.\r\nBuild a portfolio of motion work at the intersection of tech and creativity.\r\nBe part of a startup shaping the future of computational design tools.\r\nThis is an opportunity to convert into a full-time position based on performance.