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Zero-X Engineering CAD and AI (gasification systems) — Waste Conversion Technologies, Zero-X — Canggu, Bali
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Zero-X Engineering CAD and AI (gasification systems) — Waste Conversion Technologies, Zero-X — Canggu, Bali
Waste Conversion Technologies · Zero-X · On-site, Canggu, Bali · 4–6 months · Melbourne engineering track after
What does it take to build an AI that designs, simulates, and draws a waste gasification plant — and hands a fabricator a file no human had to redraw? We are far from that, but that is the goal. The bigger one: AI that helps us deliver solutions turning waste into clean power and high-quality gas. This is a Zero-X Engineering CAD and AI internship building a generative CAD pipeline for Zero-X Waste Conversion Technologies. Zero-X is an engineering company turning waste into clean power — named to Fast Company's Most Innovative Companies, Energy, 2018; funded by Projekträger Jülich (PTJ), the German federal research agency; with a PhD track across universities including TU Munich, the Fraunhofer Institute, and the German Aerospace Center (DLR). We just finished managing project Cometha ("Waste to Methane") for the City of Paris. Real execution on a live system — the proof employers hire on. Everyone has a degree. Almost nobody has proof.
What you build
Not a task list. The thing you build.
- You are currently manufacturing the first container-based waste gasification unit. This is done, but tar reforming, gas conversion, and gas upgrades to methane or hydrogen are still open topics.
- You build the generative CAD pipeline — a waste gasification component layout turned into a 3D part tree and drawing set.
- You work on the component library that feeds the pipeline — solid models of the gasifier, the reformer, and the gas-upgrade skid.
- The drawing set output is the part another pair of hands can send to a manufacturer without you in the room.
- The failure modes to catch are geometry that does not resolve, a part tree that cannot be manufactured, and a drawing view that hides a fit issue.
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Only hits
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The bar
- A CAD model or simulation built outside coursework of one of our key components — the gasifier, the reformer, or the gas-upgrade skid — with the failure points named.
- A drawing set another person can send to a manufacturer without you in the room.
- An AI-generated part tree you caught and corrected before it shipped.
Who this is for
Creative changemakers with a degree in engineering, physics, or data analytics who understand that AI is here now, and that most university graduates have barely scratched the surface of what is possible today — and tomorrow. This is phase one: getting the right people in to start. You work until the drawing set is clean and the part tree resolves.
Where you do it — and why here
Thirty years building companies — New York, London, Tokyo, the Valley — and then it stopped mattering where the work happened. So the program runs on-site in Canggu, Bali. A modern company costs twelve people and a toolchain — so being wrong six times a year is part of how we build. The campus is 4,000 sqm, and the people who run the companies are on it every day. You know Bali as where you switch off; here the work gets your full attention — what this location buys is attention, not a view. Core hours run 11 to 5. Monday reset, Friday ship — send what you made. Everything you built last week is worthless, and that is the freedom: you are not married to it. One cohort, on-site, the full phase — not remote. Epic Solutions PT runs the on-site program.
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What happens after
Seventeen interns have moved into full-time roles across the group — Bali, Spain, Germany. From here the path runs to an engineering seat at Energaia Institute in Melbourne, beside our Monash development partner. Earned, not guaranteed; the role, visa, and pay are agreed before you commit, never after.
Terms
Unpaid under Indonesian law. A room is available on campus — rent paid by you. Epic Solutions PT hosts the on-site program and assists with the C22B internship visa process; the visa fee is yours. Daily lunch on us. Starting September. Questions about the fit or the timeline? Tell us — we'll talk you through how the program actually runs.
Requirements
A degree in computer science, engineering, or equivalent — proof you can finish something. Not what you know, but how fast you learn — you move between domains and stay calm when the map goes useless. Something you built that nobody asked for. AI is the stack, not hand-written code — Claude Code, Hermes, Codex; the skill is driving them and catching what they get wrong. Available on-site for the full phase.
How to apply
Apply via the LinkedIn application field. Submit your CV and the repository.
Closing
A finished CV was never the point. What counts is a thing you've built and the drive to build the next one. That is who we are looking for.
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