Cloud Infrastructure Engineer
microagi
Cloud Infrastructure Engineer
microagi
Robotics deployment platform for site-specific AI
Accelerating embodied AGI.
The next ten years of AI will not be won in software. They will be won in the physical world: in factories, hospitals, kitchens, fields, and homes. The companies that own that data will own the century.
microagi is building it. We are a data research and deployment lab. Atlas captures the manual work inside Europe’s industrial champions, trains foundation models on it, and deploys the right robot onto the floor, with no teleoperation and no interruption to the line. Shift records how physical work actually happens and turns it into training-ready data.
We were founded by former Formula 1 engineers from Red Bull Racing and Mercedes, together with a researcher from the Alan Turing Institute. Our $55M seed round, the largest in German history, was led by Hummingbird with Northzone, LocalGlobe, Village Global, and redalpine. We are based in Munich, with our research centre in Zürich and teams in London, New York, and Istanbul. We are now building the engineering and research teams that will take Atlas into new industries.
We capture petabytes of multimodal data from the physical world, and the volume is growing every week. As Cloud Infrastructure Engineer, you will build and run the infrastructure that ingests, processes, stores, and serves it.
Design and operate our data infrastructure at petabyte scale: ingest, processing, storage, and serving.
Build the pipelines that take raw capture data from device upload to training-ready dataset.
Make the platform fast, cheap, and reliable as we scale from 3 PB to 30 PB and beyond.
Work directly with the ML and device teams to remove every bottleneck between capture and training.
Use AI coding tools as a core part of your workflow.
Production experience with large-scale data processing in the TB to PB range. You have done this, not read about it.
Deep knowledge of distributed systems and modern data infrastructure: object storage, streaming, columnar formats, orchestration.
Strong cloud fundamentals. You know what a workload should cost and how to get it there.
High agency: you don't wait to be told what to do.
Fluent in English.
Everyone we hire is assessed on the same four traits:
Mission and vision: you care about what we are building and why it matters, and your past choices show it.
Intensity: you work at a pace that matches the size of the opportunity, and you sustain it.
Entrepreneurial: you start things nobody asked for, and you finish them.
Raw IQ: you learn fast, reason from first principles, and get sharper when the problem changes.
This is for you if:
You would rather own a problem end to end than wait for a spec.
You use AI every day, and you can tell a correct answer from a plausible one.
You want to work in person, in the office, with people who are very good at what they do.
This is not for you if:
You are looking for a predictable 9-to-5.
You would forward output you cannot explain.
"That’s not my job" feels like a reasonable answer.
We read every application and reply within five working days.
Talent Screen (30 min): a first conversation, both ways.
Technical or Functional Interview (60 min): how you think when the problem changes.
Your Work (60 min): bring something you are proud of and walk us through it.
Leadership (30 min): a conversation with our CEO.
Coworking Day (engineering and research roles): a day building with the team on a real problem.
Then a decision, usually within a few days.
Compensation includes base salary and equity. The salary range for this role is shown on this posting.
Agency: real ownership from day one, and decisions that actually matter.
Freedom: to choose how you solve the problem, without layers of approval.
A seat on a rocketship: one of Europe’s fastest-growing deep-tech companies, at the earliest stage.
Free food and drinks in the office.
microagi welcomes applications from everyone. We assess candidates on their work and potential, regardless of ethnic origin, gender, religion or belief, disability, age, or sexual identity.
MicroAGI helps factories deploy robots that learn from their own data. Its Atlas platform fine-tunes AI models on a factory’s data so robots perform reliably on real production tasks. Atlas sits between a manufacturer’s systems and AI models and works with any hardware or model vendors, avoiding vendor lock-in. The company aims to scale Atlas across major European manufacturers to reduce skilled-labor gaps and energy costs by making robotics more site-specific and adaptable.
Explore more opportunities at microagi