AI-Robotics Software Engineer
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The Robotics and Automation Unit at Eurecat Technology Center (Barcelona) seeks a highly motivated AI-Robotics Software Engineer with strong hands-on experience in software architecture, quality coding processes, AI deployment stacks, and model fine-tuning. This position specifically targets applied R&D in Cognitive Robotics, emphasizing robot cognition, autonomous decision-making, and natural human-robot interaction.
Our primary focus is on developing the robot's \"brain\"—enhancing its capabilities in perception, reasoning, planning, learning, behavior orchestration, and natural interaction. We leverage advanced AI technologies and methodologies, including semantic perception, open-world semantics, physical and spatial reasoning, world modeling, knowledge representation, and multimodal AI architectures involving Large Language Models (LLMs), Vision-Language Models (VLMs), Vision-Language-Action Models (VLAs), and emerging technologies like agentic AI.
Our team boasts nearly 20 years of experience specializing in Service and Industrial Robotics. Our mission is to push the boundaries of robotic autonomy and intelligence, enabling increasingly sophisticated robotic behaviors across sectors including assistive robotics, healthcare, flexible manufacturing, logistics, inspection, and field robotics (e.g., agriculture). Our collaborative environment encourages creativity, interdisciplinary teamwork, and innovation to achieve impactful solutions for society. Explore our research lines and projects:
Come and join our dynamic, passionate team dedicated to innovation in robotics
What Will You Do
Contribute to advanced cognitive robotics R&D
- Contribute scientifically and technically to cognitive robotics projects.
- Conceptualize and implement advanced robot perception, world understanding, and interaction capabilities, including semantic understanding, physical reasoning, multimodal perception, and comprehensive world modeling.
- Define, prototype, and validate innovative robotic behaviors and interaction paradigms.
Design and deploy production-ready AI systems
- Design, develop, validate, and maintain high-quality software architectures suitable for production-oriented R&D.
- Deploy and optimize AI stacks across edge and cloud infrastructures, including model training pipelines and deployment on embedded systems (e.g., NVIDIA Jetson).
- Fine-tune AI models to meet specific robotic application requirements.
Validate systems in real robotic settings
- Support robot integration activities and experimental field trials when required.
- Ensure robustness, performance, and reliability of deployed robotic solutions.
Collaborate, communicate, and disseminate
- Participate in scientific dissemination and publication activities.
- Assist in project management to guarantee successful project execution.
- Maintain effective communication with clients and project consortium partners.
Requirements
Skills & Experience
Must-Have
- MSc degree (or equivalent professional experience) in Robotics, Artificial Intelligence, Computer Vision, or related disciplines.
- Hands-on experience contributing to cognitive robotics or AI-driven robotic systems.
- Strong programming skills in Python and C++, with experience developing reusable, documented, and version-controlled code.
- Practical experience with ROS or ROS2 and robotic software integration.
- Experience using deep learning frameworks such as PyTorch or TensorFlow.
- Familiarity with designing and maintaining modular, scalable, and maintainable software architectures.
- Experience training, fine-tuning, or optimizing AI models for robotic or embodied AI applications.
- Basic experience deploying AI components on real systems, including interaction with edge or cloud infrastructures.
- Ability to work independently while collaborating effectively in multidisciplinary teams.
- Strong communication skills and fluency in English.
- Willingness to occasionally support robot integration, experiments, or field trials.
- Availability for occasional travel.
Nice-to-Have
- Experience deploying and optimizing