Build the data layer for physical AI
We're a small team solving one of the hardest problems in AI: generating synthetic data so accurate that models trained on it outperform those trained on the real thing. Every engineer here has a direct line to the product.
Hard problems
Physics-accurate synthetic data generation, sim-to-real transfer, and domain randomization at scale.
Small team, big impact
Every engineer shapes the product. No committees, no layers of approval. Ship code that matters.
NVIDIA ecosystem
Build on Omniverse, Replicator, and Cosmos-Transfer. We’re members of the NVIDIA Inception Program.
Remote-first
Work from anywhere. Core team based in Málaga, Spain. Async communication, deep focus time baked in.
We're always looking for
No open requisitions. Just good people. If you work in any of these areas, we want to hear from you.
ML / Computer Vision Engineer
Train and evaluate models on synthetic + real data. Improve sim-to-real transfer.
3D / Simulation Engineer
Build physically accurate 3D scenes and rendering pipelines in Omniverse.
Full-Stack Engineer
Ship the platform that lets teams generate, validate, and manage synthetic datasets.
Research Scientist
Advance domain randomization, neural rendering, and synthetic data quality metrics.
Interested? Tell us about yourself.
Send us a note with what you're working on and why datadoo caught your eye. No cover letter needed.