SOFTWARE ENGINEER FOR EMBEDDED CONTROL AND AI FOR ROBOTIC APPLICATIONS

Job Description - Software Engineer for Embedded Control and AI for Robotic Applications (2400008J) Commitment & contract: employee contract Location: Genova Step into a world of endless possibilities, together let’s leave something for the future! At IIT, we are committed to advancing human-centered Science and Technology to address the most urgent societal challenges of our era. We foster excellence in both fundamental and applied research, spanning fields such as neuroscience and cognition, humanoid technologies and robotics, artificial intelligence, nanotechnology, and material sciences, offering a truly interdisciplinary scientific experience. We are dedicated to providing equal employment opportunities and fostering diversity in all its forms, creating an inclusive environment. We value the unique experiences, knowledge, backgrounds, cultures, and perspectives of our people. By embracing diversity, we believe science can achieve its fullest potential. THE ROLE You will be working in a multicultural and multi-disciplinary group, where junior and senior scientists collaborate, each with their expertise, to carry out a scientific activity with a shared research goal. The Artificial Mechanical and Intelligence Research line is coordinated by Dr. Daniele Pucci. You will contribute to the joint laboratory between IIT and Camozzi. Camozzi Automation is a global leader in designing and producing motion and fluid control components, systems, and technologies for Industrial automation, transportation, and life science industries. The IIT-Camozzi joint laboratory conducts research and development in robotics and control applied to smart grippers and actuators. Within the team, your main responsibilities will be: To design control algorithms for enabling autonomous grasping with the grippers by resorting to cutting-edge AI tools for the embedded domain. To address grasping scenarios of increasing complexity (e.g., with and without clutter, bin picking vs. affordance-based grasping). To deploy production code on the embedded control boards with model-based techniques. To design and execute experiments for the validation of algorithms and models. ESSENTIAL REQUIREMENTS Bachelor’s and/or Master’s degree in computer science, computer engineering, control engineering or related fields Basic knowledge of machine-learning and control methodologies Strong focus on stakeholder needs and expectations Good command of spoken and written English ADDITIONAL SKILLS Experience with robot middleware systems such as ROS, ROS2, OPC UA, or YARP Basic knowledge of electronics, mechanical engineering, and control Basic knowledge of mathematics, physics, and robotics foundations Experience with programming languages such as C/C++, Python Experience with embedded software development Experience with simulation tools Ability to work in a challenging and international environment Capacity to work autonomously and collaboratively in a highly interdisciplinary environment Analytical reasoning skills and a growth mindset COMPENSATION PACKAGE Competitive salary package for international standards (Salary can include bonus option depending on your role and contract). Private health care coverage depending on your role and contract Two days of teleworking per week and flexible working hours are available for certain roles Candidates from abroad or Italian citizens who have carried scientific research activity permanently abroad and meet specific requirements, may be entitled to a deduction from taxable income of up to 90% from 6 to 13 years. Please submit your application using the online form and including a detailed CV. #J-18808-Ljbffr