What the role involves
Draftaid started by auto-generating manufacturing drawings from 3D CAD parts. We are now building the intelligence layer for mechanical engineering.
What you'll do
Design and optimize geometry algorithms for drawing generation
Build and maintain C# systems that interface with CAD kernels
Integrate ML pipelines to improve generation accuracy
Own problems, not tickets
What we're looking for
7+ years developing software
Strong C#
Experience with CAD systems, 3D engines, or computational geometry
Willingness to go deep on geometry algorithms
Product intuition
Comfortable with ambiguity and moving fast
Nice to have
3D kernel experience (Parasolid, OpenCascade)
Unity or game engine background
Graph algorithms, geometric heuristics, learned representations
Python + ML familiarity
TypeScript + Postgres exposure
What we offer
Competitive salary + equity
Flexible hours and hybrid in-office
Small team, high ownership
What they ask for
About Draftaid
DraftAid is the world's first generative AI for CAD manufacturing drawings, akin to GitHub Copilot but for CAD. It drastically shortens drawing creation time, turning hours into seconds. Every product that is manufactured - from construction to aerospace, automotive, durable goods, and electronics—relies on drawings. Currently, engineers and designers painstakingly make these essential drawings manually. Draftaid streamlines this process saving teams millions in time and quality. The idea was born out of Abdullah's experience as a mechanical design team member, where he created thousands of drawings and longed for a more efficient process. Partnering with Tahsin, a neighbour with a PhD in AI, and Mohammed, a seasoned engineering VP with experience in construction software, they turned the dream into reality. Since their launch in August, DraftAid has engaged customers through targeted outreach and word-of-mouth, securing paid pilots with subsequent contracts valued at $150,000. Be a part of ushering in the new era of CAD designs!
Full Draftaid profile