We're building foundational models for general purpose manipulation. Our data infrastructure allows us to generate rich, multi-modal human demonstration data at exponential scale.

We are using this data to train general-purpose manipulation models that work reliably across tasks, objects, and robot embodiments. We are live in deployment across multiple verticals.

As a data engineer, you'll architect the highest quality robotics dataset in the world - owning the pipelines that turn raw sensor data into the datasets our models train on.

What you'll do:
Build pipelines that turn raw multi-modal sensor data into training-ready datasets
Build tooling for data exploration, filtering, versioning, and release management
Implement quality checks that catch bad data before training




Work in a tight feedback loop with the model team to improve data for training

You should have:
Robust Python and experience building data pipelines at scale
Experience with multi-modal or time-series sensor data (video, IMU, force - any of these)
Experience with data validation at scale - anomaly detection, distribution checks, or debugging corrupted data
Proof of decision-making with incomplete information

Our culture is built on honesty and willingness to fail rapid. If you see yourself fitting here, please apply.

Comp:
₹15L-₹40L
Full time, on-site in Pune

📌 Data Engineer India Pune
🏢 Intelligence Factory
📍 India