AI/Robotics Engineer – Learning-Driven Manipulation for Agrifood & Industrial Robotics

EURECAT; Cerdanyola del Vallés; Presencial; EUR 40.000 - 60.000; Jornada completa

Descripción de la vacante

A leading technology center in Cataluña is seeking a passionate engineer or researcher to drive advancements in AI-powered robotic manipulation. The role involves developing complex manipulation policies, integrating advanced AI techniques, and advancing perception in challenging environments. Ideal candidates will have a degree in Robotics or AI and possess skills in machine learning and data collection. Join us to innovate in the fields of agriculture and advanced manufacturing within a collaborative international team.

Formación

• Experience with dexterous manipulation policies in unstructured environments.
• Strong understanding of AI algorithms and data collection techniques.
• Proficiency in training models for robotic applications.

Responsabilidades

• Develop dexterous manipulation policies for Agrifood and Manufacturing.
• Lead data curation and multimodal dataset preparation.
• Deploy models optimizing for real-time performance.

Conocimientos

Robotic manipulation

Reinforcement learning

3D perception

Data collection

Behaviour cloning

Educación

Degree in Robotics, AI or related field

Herramientas

Transformers

VLAs

Diffusion Policies

Descripción del empleo

Are you excited about shaping the next generation of AI-powered robotic manipulation in real, unstructured environments?

The Robotics and Automation Unit at Eurecat Technology Center (Barcelona) is looking for a passionate engineer or researcher who wants to push the boundaries of robot learning, dexterous manipulation, and perception-rich autonomy in agriculture and advanced manufacturing.

You’ll join a multidisciplinary team working at the intersection of robotics, AI, and real-world deployment, contributing to systems that harvest fruit, manipulate objects in factories, and learn robust skills through data and experience.

WHAT WILL YOU DO

If you join the Manipulation team, you will:

Pioneer the next era of learning-driven robotic manipulation

• Develop dexterous manipulation policies for complex, uncertain environments in both Agrifood and Manufacturing.
• Integrate Transformers, VLAs, Diffusion Policies, Flow Matching, Foundation Models for Robotics (RT-X style), and Imitation Learning into real robot systems.

Build full AI pipelines, from data to deployment

• Design and execute data collection campaigns in real environments (greenhouses, orchards, industrial settings).
• Lead data curation, annotation pipelines, dataset augmentation, and multimodal dataset preparation (RGB-D, proprioception, tactile, force-torque data).
• Train behaviour cloning, reinforcement learning, and foundation-model-prompted RL/IL.
• Deploy learned models on-robot / on the edge, optimizing for latency, reliability, and real-time performance under field conditions.

Advance perception for challenging environments

• Develop 3D perception, crop/fruit detection, pose estimation, grasp synthesis, and scene understanding for unstructured natural environments.
• Fuse vision, proprioception, and force data to enable safe physical interaction.

Make real robots learn and improve

• Integrate your algorithms with our robotic platforms (mobile manipulators, cobots, custom agrifood systems).
• Validate your solutions both in the lab and on field deployments.

Collaborate, learn, and grow with us

• Work with an international consortium of companies, R&D partners, and farmers/growers.
• Contribute to scientific publications, demos, project deliverables, and client interactions.
• Participate in project planning, execution, and new proposal definition.