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The Company Luffy AI is an exciting high-tech startup developing adaptive neural networks for industrial control & robotics. Luffy specialises in AI controllers that are trained in simulation on digital twins and successfully transferred into real world systems. The AI controllers can be deployed on existing hardware with a small footprint and no internet connection. Our networks use neural plasticity to learn the dynamics of the equipment they are placed in and continue to adapt in operation, meaning that the equipment runs more efficiently without the need for downtime while engineers re-tune them. Our transformational AI technology allows process industries and manufacturers to improve productivity and save energy, and allows industrial automation vendors to simplify and extend the operating envelope of their machines. This revolutionary control technology is a key enabler of Industry 4.0, with huge potential in foundation industries such as metals, glass and cement manufacturing, as well as in automation sectors such as electric motors and robotic systems. Our main office is in Culham, near Oxford, and we also have a small office in Bristol. We offer hybrid working and flexible hours. The Role We are looking for an enthusiastic and innovative AI Control Engineer to join our multidisciplinary Applications team. You will be working on state-of-the-art automation and control, applying our novel AI approaches to real-world environments, building AI controllers for industrial customers and their suppliers. This dynamic role is perfect for someone with a broad interest in disciplines such as mechatronics, control engineering, industrial processes, robotics, simulation and modelling, and software engineering. You will be used to working at the interface between software and hardware, unafraid to connect wiring to a controller or to use an oscilloscope as well as having strong software engineering skills, and enjoy working on challenging, multifaceted problems with real-world applications. Experience of working with mechatronics systems would be a significant advantage. Your work will contribute to building commercial products and solutions for Luffy AI’s early adopter industrial customers – for example working to understand and characterise systems such as motors, drones and furnaces to help build better control solutions. As an early team member in a growing startup you will be in a unique position to influence the direction of the company and tailor the role to your interests. Roles and Responsibilities • Performing system identification and characterisation of systems, • This includes developing test setups and procedures to empirically improve the validity of digital twin models, • Assisting with the development of demo suites and test rigs that help demonstrate the capabilities of our framework to customers., • Performing system integration and field testing, including at customer sites., • Developing and enhancing control software for real world applications., • Contributing to the development of digital twin models and AI controllers. Qualifications and experience • Essentials we’d like you to have:, • University degree in a relevant area of engineering/science (Mechatronics, Robotics, Control Engineering, Electrical Engineering, Physics, etc.)., • Relevant work experience preferably in industry., • Good understanding and practical experience of system identification and characterisation of electromechanical/dynamic systems., • Good programming skills, experience of Python programming and familiarity with C., • High degree of autonomy. Able to learn new applications and technologies rapidly. Enthusiasm for learning., • A desire to help other people solve their problems., • Good communication skills., • Bonus points for these skills:, • Good understanding of feedback control system design., • Experience with industrial standard motor control systems and programming (e.g. PLCs), • An advanced degree may be an advantage but is not required., • Familiarity with basic Reinforcement Learning techniques for robotics and industrial control., • Experience with system identification for modelling of physical systems, • Experience/interest in genetic and evolutionary computation techniques., • No specific expertise in AI technologies is required. However, it would be advantageous if you already have an active interest in AI and its potential in control systems. We welcome applicants with non-traditional career paths or equivalent experience. We’re committed to building a diverse and inclusive workplace. We welcome applications from all backgrounds, regardless of race, gender, disability, religion, sexual orientation, or age.