AI-Robotics Software Engineer - Cognitive Robotics Group (full time)
Barcelona lab seeks engineer to build cognitive systems using LLMs, VLMs, and agentic AI for real-world robots.
Eurecat Technology Center in Barcelona is recruiting a full-time AI-Robotics Software Engineer for its Cognitive Robotics Group, signaling a major push into embodied AI. The role is explicitly focused on applied R&D to build the robot's 'brain,' enhancing capabilities in perception, reasoning, planning, and natural interaction. The team leverages cutting-edge AI technologies, including Large Language Models (LLMs), Vision-Language Models (VLMs), and the emerging class of Vision-Language-Action Models (VLAs), alongside agentic AI architectures. With nearly 20 years of experience in service and industrial robotics, Eurecat aims to deploy these cognitive systems in real-world settings like assistive healthcare, flexible manufacturing, and agriculture.
The successful candidate will be tasked with conceptualizing and implementing advanced robotic perception and world modeling, then deploying production-ready AI stacks. This involves fine-tuning models for specific applications and optimizing their deployment on edge computing hardware, such as NVIDIA Jetson platforms. The position requires strong hands-on experience in Python, C++, ROS/ROS2, and deep learning frameworks like PyTorch, with a emphasis on building modular, scalable software. This job posting is a concrete indicator of the industry's shift from theoretical AI research to the hard engineering required to integrate multimodal AI models into physical, autonomous robots that can reason and interact in open-world environments.
- Role focuses on building robot cognition using LLMs, VLMs, and agentic AI for semantic understanding and autonomous decision-making.
- Requires deploying and fine-tuning AI models on edge devices like NVIDIA Jetson for real-world sectors including healthcare and manufacturing.
- Candidate must have strong production software skills in Python, C++, and ROS2, bridging advanced AI research and robust robotic integration.
Why It Matters
This job represents the critical engineering bridge needed to turn advanced multimodal AI into practical, autonomous robots for industry and healthcare.