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-world constraints.
Collaborative: Flu

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