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An exciting high-tech startup is seeking a Senior AI Software Engineer to join their innovative team. This role involves working on cutting-edge AI technologies, including adaptive neural networks and genetic algorithms, to drive advancements in industrial automation. As a key member of the team, you will collaborate with the CTO and AI Architect, contributing to both operational improvements and R&D projects. If you're passionate about AI and software engineering, and eager to make a significant impact in a growing startup, this opportunity is perfect for you.
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Luffy AI is an exciting high-tech startup developing adaptive neural networks for industrial control & robotics (Physical AI). Luffy specialises in “Micro AI” controllers (sometimes referred to as TinyML) 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 neuroplasticity 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 transformative 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.
We are based at the Culham Science Centre near Oxford, UK and have a satellite office in the centre of Bristol.
The Role
We are looking for a passionate Senior AI Software Engineer to work with our CTO and AI Architect to work on our proprietary AI stack, both delivering operational improvements for our AI Control Engineers who use the stack to train controllers, and working on R&D projects to drive step changes in the Stack’s capabilities longer term.
The code frameworks you will work on include neural network execution engines, genetic algorithms and training frameworks.
This dynamic role will require you to have a broad interest in and experience in software engineering, working collaboratively with other developers on innovative code bases.Experience of genetic algorithms, low level neural network execution and concepts such as neuroplasticity, recurrent neural networks and reinforcement learning frameworks like OpenAI Gym would be a huge advantage.
This role requires specific experience with Python and familiarity with C/C++ or GPU programming would be a bonus. 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
The specific role can be adapted to your skill-set, but we are broadly looking for someone to take on the following responsibilities:
Behaviours and personal characteristics
Qualifications and Experience
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