Build the operating layer — then put robots on it.
NBR Intelligence — Careers
We send engineers inside real industrial operations — garment and leather floors, data centers, manufacturers — to connect the systems they already run into one live operating picture. Then we install industrial robots on those floors and run them from the same system. Come build MIDAS, the robots it orchestrates, and the company around both.
What is it like to work at NBR Intelligence?
NBR Intelligence builds MIDAS, the system industrial companies run on to know earlier and act faster — we build solutions on the systems they already run, connecting them into one live operating picture. That operating layer is now becoming physical: we install industrial robots onto garment floors and orchestrate the fleet from MIDAS. Two kinds of work are open. Engineers who are forward deployed embed inside real operations, integrate existing systems and signals, model the operational ontology, and ship working software leadership runs on. The robotics side trains the manipulation policies, installs and commissions the robots, collects the demonstration data they learn from, and decides which tasks are worth robotizing. NBR is a small, AI-native team working with manufacturers and data centers across Vietnam and Singapore, and runs its own operation on MIDAS every day.
Why we exist.
AI models get cheaper and more capable every month — but a model can't run a factory. What's scarce is the live map of how an operation actually works: its assets, projects, sites, owners, systems, signals, and decisions. MIDAS is the system that map lives in — one ontology, many models on top. We help industrial companies know earlier and act faster — we build solutions on the systems they already run, pointed at real operations.
Where we are.
- We work with data centers and manufacturers — from fiber optics to garments.
- Production Intelligence is live on factory floors now.
- We're standing up our own robotics testbed — our arms, our data, before a single unit ships to a customer floor.
- Forward deployed with industrial leadership — not pitching from a deck.
The work: forward deployed.
Industrial operations are too specific for self-serve software, so we embed. You map a real operation with the people who own it, integrate the systems and signals already on site, model the operational ontology, ship the live operating picture, and turn what you learn in the field into reusable product. The system flags what needs attention; the people decide what to do.
The robots: your whole floor waits on one station. We find it, and make it run day and night.
Garment wages are rising and roughly a fifth of the workforce turns over every year. Factories can't staff the shifts they already have, let alone the ones they need. So we install industrial robots on the floor's highest-volume, simplest tasks and run them at night: same building, same machines, more output. The payback runs on added revenue, not saved wages — which is why the floor says yes.
- Industrial robots with a camera on every piece, on the simplest, highest-volume tasks, chosen per task.
- We buy our own arms and break them in our own testbed before a single unit ships to a customer floor.
- Every completed cycle comes back as labeled training data. The robots are commodities; the floor data that tells them what to do is the asset.
- MIDAS schedules the robots, verifies the output, and gives the factory owner an auditable picture of the whole fleet.
Who you'll work with.
You'll build alongside operators who scaled a fiber-optics semiconductor company into a Broadcom acquisition, shipped data products that Fortune 500 brands ran their biggest decisions on, and delivered secure AI to the U.S. Department of War. NBR runs its own operation on MIDAS every day.
Open roles.
Robotics & the floor.
- Robotics Engineer. Turn teleoperated demonstrations of real garment tasks into trained manipulation policies — behavior cloning, diffusion policy, ACT, VLA — validate in simulation, deploy to a real cell, and prove on the floor that the robot does what it was trained to do. PyTorch and ROS 2. Remote in Southeast Asia with regular weeks at the Ho Chi Minh City testbed; English required, Vietnamese a plus.
- Robot Deployment Technician. Install and commission industrial robots on live floors — mounting, end-effectors, fixturing, workcell layout — wire them into the machines, PLCs, and safety systems already there, and own uptime. Vietnam, on-site at customer floors with frequent travel; Vietnamese and English required.
- Teleoperation & Data Collection Specialist. Teleoperate the arms through real garment tasks to produce the demonstration data our policies train on, hit daily episode targets without letting quality slip, and run evaluation sessions on trained policies. Ho Chi Minh City testbed, on-site; no degree required; Vietnamese required, working English.
- Industrial / Process Engineer. Find the highest-volume, simplest tasks worth a robot, redesign the station around the robot, and build the per-cell case on added output and payback the owner can check. Vietnam, on-site at customer floors; Vietnamese and English required.
Platform, deployment & growth.
- International Sales Manager. Own the robotics deployment pipeline into Vietnam's garment groups, with Korean-owned manufacturers as the priority lane, and sell the whole structure — the operating picture, the robots, and the financing that makes the owner's yes easy. Vietnam with travel across Vietnam and Korea; Vietnamese, English, and Korean required.
- Senior Founding Engineer. Own the core MIDAS platform — architect and own the system the whole company ships on, now the orchestration layer for a robot fleet as well as a leadership operating picture. CTO-track with founding equity. Singapore, Vietnam, or remote in Southeast Asia.
- Forward Deployed Engineer. Embed at customer operations, integrate their systems, configure MIDAS, stand up the operational ontology, and connect the robots on the floor into it. Southeast-Asia-based with significant on-site work; Vietnamese and English required.
- Computer Vision / ML Engineer. Build Production Intelligence — defect detection, production tracking, edge inference — and the perception the robots act on: finding, counting, and posing limp fabric that bends and wrinkles differently every time. Remote in Southeast Asia, close to the floor; English required, Vietnamese a plus.
- Change Manager. Own adoption after go-live, including the human side of a robotized floor: what the day shift does differently, how the night handover works, and why added capacity is not replacement. Vietnam and Southeast Asia with significant on-site work and a Silicon Valley rotation; Vietnamese and English required.
Don't see your role?
If you're exceptional, reach out anyway. Tell us what you'd want to work on — and what you've shipped.
Website: https://nbrintelligence.com | Careers: [email protected]
NBR Intelligence — Singapore · Vietnam