We design, develop and manufacture high-performance unmanned systems that are software-defined, mass-scalable, and cost-effective.
This provides our operators with a decisive edge in highly contested environments.
We're focused on delivering deployable, high-performance systems — not future promises.
In a time of rising threats, STARK is bolstering the technological edge of NATO Allies and their Partners to deter aggression and defend Europe — today.
About the teamThe Data Operations team owns the entire data lifecycle behind STARK's AI stack: collection, acquisition, generation, curation, and management.
We run our own data-collection campaigns across Europe, evaluate new sensors and platforms, and build the internal data platform that turns raw recordings into ready-to-use datasets.
Everything we produce feeds directly into the perception and autonomy systems deployed on STARK's platforms — a real data advantage is built, not bought.
The team is scaling up right now: real scope, direct impact, no legacy.
Your missionData is the fuel of STARK’s AI stack — you build the engine that makes it usable.
You own the software backbone of our data platform: the metadata systems, ETL pipelines, data contracts, catalogs, databases, and internal tools that let engineers find, understand, validate, and reuse terabytes of multi-sensor field data in minutes, not days.
You treat data context as a product: structured, searchable, version-aware, documented, and traceable from raw recording to processed asset, annotation delivery, dataset, and downstream ML workflow.
Today, much of this is manual, scattered, or implicit — your job is to automate it away, support labeling efforts with the right data tooling, and turn operational data into reliable systems.
ResponsibilitiesDesign, implement, and maintain our metadata database and data catalog (datase.