The Company

Luffy AI is an exciting high-tech startup developing adaptive neural networks for industrial control & robotics. Luffy specialises in “Micro AI” controllers that can be trained in simulation on digital twins and successfully transferred into real world systems. The Micro AI controllers can be deployed on existing controller 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 long after training. These innovations allow us to overcome the difficulty of applying AI in control system applications.

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.

The Role

We are looking for an enthusiastic and innovative 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 electromechanical 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.). An advanced degree may be an advantage but is not required.
• Relevant work experience (either through University projects or employment).
• Good understanding and practical experience of system identification and characterisation of electromechanical/dynamic systems
• Strong C/C++ skills and good familiarity with Python.
• High degree of autonomy. Able to learn new applications and technologies rapidly. Enthusiasm for learning.
• A desire to help other people solve their problems.
• Excellent communication skills
• Bonus points for these skills:
• Experience with industrial standard motor control systems and programming (e.g. PLCs)
• Good understanding of feedback control system design
• Familiarity with basic Reinforcement Learning techniques for robotics and industrial control. 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.
• Experience with advancing simulation and modelling techniques for physical systems
• Experience/interest in genetic and evolutionary computation techniques.
• Familiarity with testing frameworks and continuous integration.

Benefits:

• Full time salary of £45k - £65k, depending on experience and capability assessment during the interview process.
• EMI share options scheme.
• 25 days annual leave, plus bank holidays