Fleet Reliability Engineer (f/m/d)

Your mission

Robots couldn’t handle soft materials. We fixed that.

Now our robots are out there, running in real production, shift after shift. And we need someone who keeps every single one of them alive, sharp and getting better.

At sewts, we build the intelligence that lets robots manipulate deformable materials like textiles, towels and cables with human-like precision. Our systems are already deployed in production across Europe and expanding into the US.

We are building a foundational technology stack called sewts.JUPITER. JUPITER uses genAI to realistically simulate the behavior of deformable & soft objects to create corresponding computer vision models and grabbing strategies. Based on our physical AI, for the first time ever, robots are enabled to handle soft & deformable materials. With over €10M in funding we will bring automation into all untapped industries, like cloth manufacturing, textiles handling, recycling & e-commerce.

This is where AI leaves the screen and enters the physical world.

And in the physical world, nothing forgives you.

You own the fleet. Every ORDO machine we’ve shipped is your responsibility once it’s live.

You are the person who knows how our installed robots are performing right now, what broke last week, and what is going to break next month. You sit between our customers, our service technicians and our engineering team, and you turn a stream of alarms, logs and phone calls into a fleet that runs better every month.

Fixing a robot once is easy. Making sure the same issue never shows up again across the whole fleet, that’s the job. That’s yours.

What You’ll Actually Do

• Watch the fleet. Track operational data and performance of every installed system. Know uptime, throughput and error rates before anyone asks.
• Build predictive maintenance from scratch. Develop the tools, data pipelines and dashboards that let us fix things before they fail, not after the customer calls.
• Find the patterns. Analyze and cluster past issues, identify root causes and drive system changes with engineering that improve performance and cut service calls.
• Run service. Handle incoming service requests and issue reports from customers, then plan and dispatch our service technicians to the right place, with the right parts, at the right time.
• Prioritize ruthlessly. Plan scheduled service visits and squeeze in ad hoc tasks without losing sight of what matters most.
• Debug remotely. Dial into customer machines, dig through PLC and robot code, logs and data, and get systems running again, often without anyone getting on a plane.
• Close the loop. Feed field intelligence back to engineering and help shape the playbooks that make the whole fleet more reliable.

Your profile

Who You Are

• Engineer with roots in mechatronics, automation, mechanical or electrical engineering, robotics, or equivalent hands-on experience.
• You can read and write PLC code (Beckhoff / TwinCAT). Function blocks, state machines and I/O don’t scare you.
• You can read and write robot code (Fanuc) and understand what a robot is actually doing and why.
• You understand machine engineering and system complexity: mechanics, electrics, controls, vision and software, and how they fail together.
• You think in data. You’d rather prove a root cause than guess one.
• Calm and systematic when things break, and organized enough to juggle five customers, three technicians and one urgent fire at the same time.
• Exceptional communicator: you can calm down a customer, brief a technician and challenge an engineer in the same hour.
• You move fast, think clearly and fix things without waiting to be told.
• Willing to travel occasionally to customer sites across Europe.
• Fluent in English; German is a strong plus.

Nice to Have

• Software engineering experience or coding skills in Python and/or C++.
• You’ve built dashboards (e.g. Grafana, Power BI or similar) that people actually use.
• Experience with remote access and remote debugging of machines (SSH, VPN).
• Comfortable on Linux: scripting, digging into logs, figuring things out.
• Previous experience in service, field application or maintenance engineering for industrial machines.
• Previous experience in a deep-tech or hardware startup.

Why us?

Why This Role

• You own a live fleet of physical AI systems: real robots, real customers, real impact
• You build predictive maintenance from the ground up, with no legacy to fight
• Your analysis directly shapes the next generation of our machines
• Small team, extreme ownership, no abstraction layers
• You shape a category: Physical AI for deformable materials, deployed at scale
• Munich-based, high-performance environment

Setup & Benefits

• Competitive salary
• Speciality coffee at office
• Flexible working setup
• Regular team events, high trust, low bureaucracy

Reality Check

Robots will misbehave. Three customers will call at the same time. The log you need will be the one nobody saved. If you want clean problems and predictable days, this is not it. If you want to be the person who turns a growing robot fleet into a machine that gets better every week - welcome to sewts.