Summary
✨ AI‑Generated
A founding technical leadership opportunity focused on building AI-driven infrastructure inspection technology. You will lead computer-vision and spatial/temporal modeling, develop robust data pipelines, and help turn aerial sensor data into digital representations with automatically identified defects. The role offers substantial autonomy in defining the technical direction and product architecture.
Highlights
Founding-level ownership of an AI and software venture, with the opportunity to shape technical strategy, build computer-vision systems, develop data pipelines, and create technology for infrastructure inspection.
Description
Co-founder, AI & Software (Bridge inspection, Germany, applying for EXIST)
Germany has around 130,000 bridges and a growing share of them are in bad shape.
The Carolabrücke in Dresden collapsed in 2024.
The Rheinbrücke Bonn-Nord was closed completely in June 2026.
Every one of these bridges has to be inspected under DIN 1076: a full inspection every 6 years, a simple one every 3, a visual check every year.
Today that means scaffolding, rope access, and often a clipboard and an engineer's handwritten note.
The results aren't comparable between inspections.
Nobody can tell you whether that crack got wider since 2021.
We're fixing that with a drone, a modular sensor payload (LiDAR, RGB, later ultrasound and thermal), and software that turns the flight into a digital twin with the defects marked on it.
Your responsibilities
Lead AI Development: Design, build, and deploy computer vision and spatial/temporal models for automated damage detection on infrastructureData Pipeline Development: Create efficient end-to-end data processing pipelines for automated multi-sensor analysis and edge/cloud model training.Technical Strategy: Define our long-term software architectureSoftware Layer - The comparison: same bridge, one year apart.
What changed, and by how much.
- The digital twin: point cloud in, something an inspection engineer can click through, out.
Must-haves
University degree in Computer Science (or a related field) with practical experience in Machine Learning and Computer Vision algorithmsPossess a founder mindset and readiness to take full technical ownershipHands-on experience writing clean, deployable code and solving complex technical edge casesBuilt and shipped a real backend.
APIs, a database, storage, a pipeline that chews through large data without falling over
Helpful, not required: point clouds, LiDAR or photogrammetry.
Jetson.
Anything from construction, drones or civil engineering.
German.
The deal
Equal share of the company.
A third each, with vesting.
No salary until we secured grants.Honest about the timing: between now and the EXIST stipend (roughly Q1 2027) we're asking for around 10 to 20 hours a week next to your job, unpaid, for equity.
From the stipend onwards, full time.You need to qualify for EXIST: You live in Germany.Work from wherever.
We'd like you to be open to moving when EXIST starts, most likely Munich or Berlin.
Interested?
Send whatever shows the work best: a repo, a paper, a project you'd tell a friend about.
Tell us the hardest thing you've shipped and what broke.
