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. 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.
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. 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. 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.
University degree in a relevant area of engineering/science (Mechatronics, Robotics, Control Engineering, Electrical Engineering, Physics, etc.). Relevant work experience (either through University projects or employment).
Strong C/C++ skills and good familiarity with Python.
A desire to help other people solve their problems.
Bonus points for these skills:
Experience with industrial standard motor control systems and programming (e.g. PLCs)
Familiarity with basic Reinforcement Learning techniques for robotics and industrial control. Familiarity with testing frameworks and continuous integration.
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