? Senior Autonomy & ML Engineer: Shape the Future of Heavy Robotics (€9M Funded)

Location:
Valencia, Spain ?? (Relocation & Visa support provided)

Funding:
Series Seed |
€9M raised
since 2024

Sector:
Autonomous Vehicles / Precision Agriculture / Deep-Tech

The Mission

I am partnering with a high-growth robotics startup building "Thor"—a fully electric, autonomous heavy-duty vehicle designed to revolutionise
precision agriculture
and frontline logistics. Following a recent €7M injection, they are scaling production to 100+ units.

We are looking for an engineer who wants to own the autonomy stack end-to-end—moving beyond notebooks and slide decks to deploy models that do real work in the field.

The Role: End-to-End Autonomy Ownership

You won’t just be a cog in a machine; you will own the stack from raw data ingestion to production deployment.

Your Core Tasks:
- Pipeline Architecture:
Build and maintain data ingestion pipelines (cleaning, organising, and labelling).
- Model Evolution:
Select, train, and iterate on machine learning models for high-stakes autonomy.




- Field Testing:
Design and run testing campaigns in virtual environments and—more importantly—out in the vineyards, olive orchards, and citrus groves of Spain.
- Safety & Verification:
Define and implement the critical safety criteria that allow 3-ton machines to operate autonomously.
- Deployment & Ops:
Own the shipping and monitoring of new models, ensuring seamless communication with end-users.

Who You Are:
- Practical Visionary:
You have a track record of deploying models that actually worked in the real world. You understand the state-of-the-art but know what is "field-ready."
- Hands-on Coder:
Strong software engineering fundamentals are a must.
- Generalist Mindset:
While we value deep expertise, we prefer engineers with high ownership who can bridge the gap between data engineering, ML, and cloud.
- Field-Ready:
You are excited to get out of the office and test on real machines with real-worl

📌 Autonomous Machine Learning Engineer (Valencia)
🏢 Stax - Deep Tech Talent
📍 Valencia