Founding CTO

Role: Founding CTO – Physics ML / Foundation Models for the Physical World

About FiberMind

I'm building FiberMind to turn existing fibre‐optic networks into an intelligent sensing fabric for rail, borders and pipelines – physics‐aware foundation models on top of the world's fibre, not another chatbot.

What you'd own

• Architecture and training of physics‐grounded models on noisy real‐world sensor data
• End‐to‐end ML: simulations + synthetic data → models → deployment with real operators
• Technical roadmap and early technical hiring
• Co‐designing pilots with rail / infra customers

Who this is for

• 5–10+ years in applied ML / scientific ML / signal processing (geophysics, CFD, inverse problems, etc.)
• You've shipped real systems, not just papers – ideally in sensing, robotics, or other physical‐world systems
• Comfortable working with messy, long‐horizon infra, not just web A/B tests
• Interested in co‐founding: you want real equity, real responsibility, and you're okay that this will be hard and non‐linear

What I'm offering

• True co‐founder role with meaningful equity
• Direct access to rail / infra customers and pilots (not a science project)
• Room to design the entire technical stack your way, with support from a founder who's spent ~15 years in fibre sensing and helped scale a previous company to ~£25m ARR

Founder's note

I've spent 15 years in fibre sensing, from R&D labs to leading global commercial teams, and watched the tech over‐promise and under‐deliver. FiberMind is my answer: we're building foundation models that turn existing fibre networks into a predictive nervous system for rail, borders and pipelines. Simple interface on the outside, learning engine underneath. If you care about physics, messy real‐world data and building a generational infra company, you'll like this.