Robotics

Our research team specialises in developing proof-of-concept systems that use state-of-the-art software algorithms, frameworks, techniques, and tooling to solve concrete real-world problems and pave the way for Dyson’s future autonomous and intelligent products. These domain experts are developing state-of-the-art robot prototypes that turn theory into practice, in areas such as perception, manipulation, and robot learning. Join a passionate and growing team working to put cutting edge robotics technology into people’s homes.

The intelligent machines team features some of Dyson’s brightest software architects and engineers, algorithm engineers, product managers, product owners, release train engineers, and scrum masters. Adopting SAFe, their work includes vision systems, robotics platform software in a Linux environment, and machine learning software, spanning robotics algorithm exploration such as SLAM and robotics behavioural development, adding intelligence to our Dyson machines.

Since we launched our first connected product in 2014, our IoT platform has grown to over 3 million connected Dyson machines, with over 1 million active owners worldwide. The Dyson app enables owners to interact with our machines in ways they’ve never done before, and we are harnessing the data it provides to create superior machines and owner experiences. Our new technology is advancing at speed, with network-based robotics and intelligent sensing technologies.

Electronics Hardware Development provides the engineering expertise to deliver Dyson’s state-of-the-art electronics hardware architectures and solutions. This growing team is currently home to over 350 of the world’s best electronics engineers, programmers, scientists, and technicians. They develop electronic solutions in our seven global RDD sites. The team is responsible for circuit design and integrating all hardware solutions, including advanced sensor technology.

The global, diverse, highly skilled, and multi-functional Dyson Machine Learning team combine leading machine learning and AI techniques with an in-depth understanding of user behaviour. The science of teaching our machines to learn and evolve is a collaborative mission and the team operates across the whole business. Using anonymised data from our connected devices, they conduct rigorous qualitative and quantitative experiments and trials, inventing novel solutions to 'impossible' problems.

Our diverse embedded software teams transform product vision into reality by developing the software that sits across a broad range of intelligent Dyson machines. Utilising SAFe, they harness clever development techniques such as platforming, test automation and metrication to rapidly and reliably achieve quality software solutions. The teams are involved in fundamental architectural design at the embedded layer for each Dyson product.