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Senior Scientist

Pubblicato il 11-09-2026 - Cognivix in Italia

The Role: Senior Scientist (Perception & Control)
You will not be fine-tuning LLMs. You will be building the geometric glue that allows a robot to understand 3D space from a single demonstration. We are looking for a Bridge Builder . You need to be fluent in two languages that rarely speak to each other: Deep Learning (Perception) and Control Theory (Action).
What we are looking for:
- The Bridge: You understand Machine Learning (Transformers, 3D Vision) AND Robotics (Kinematics, Trajectory Planning, Impedance Control).
- The Pedigree: PhD in Robotics, Computer Vision or Machine Learning.
- The Proof: First-author publications in top-tier venues ( ICRA, IROS, CVPR, ICML, T-RO , RA-L or equivalent).
- The Code: You write Python that survives production, not just Jupyter notebooks that run once.

What we are NOT looking for:
- Pure NLP/LLM specialists.
- Pure Hardware/Mechatronics engineers.

The Offer
- Role: Senior Scientist / R&D; Lead
- Location: Pescara, Italy (On-site).
Enjoy the Adriatic coast, high quality of life, and lower cost of living compared to Milan or Munich.




- Compensation: €70,000 / Year
This is a top-tier salary for the region, reflecting the seniority of the role.
- Equity: Significant stock option package in an emerging startup.

We are an “A-Team” by design.
You will not be a cog in a giant machine. You will be joining a compact, elite unit of engineers and researchers who are solving the hardest problem in robotics: Generalizability.
- Our Founders have 40+ years of industrial execution.
- Our Tech was born at TUM, one of the world’s premier robotics institutes.
- Our Mission is to give eyes and brains to the millions of “blind” industrial robots currently welding and moving metal in the dark.

The Culture: Science meets Scale
We are building a product, not a research paper. However, we believe that the best way to dominate a market is to have the best technology.
- Publishing: We encourage our team to publish their breakthroughs. We target top-

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