Robotics Software Engineer

About us
Dyson is a global technology company that sets out to solve the problems others ignore. We create machines that are different, better and more useful through inventive engineering, rigorous testing and a commitment to exploring new possibilities.
At Dyson, we believe that diverse experiences, perspectives and ways of thinking help us create better products for our users. We encourage applications from candidates of all backgrounds and are committed to
creating an inclusive environment where everyone can thrive and contribute.
About the role
You are a software engineer with 1–2 years of relevant industry experience in machine learning, computer vision, or software development, working within an agile, cross-functional team. You will apply your practical engineering experience to develop intelligent features that help Dyson deliver innovative products for our customers.
Working collaboratively with machine learning specialists, data operations, UX/UI designers, and software engineers across embedded, cloud, and app teams, you will take ownership of well-defined engineering tasks and contribute practical solutions to Dyson’s expanding portfolio of intelligent products.
You will have practical software development experience and working knowledge of sensors and systems, such as embedded software, cameras, sensor components, or machine learning accelerators. Experience processing data across embedded, app, or cloud environments and delivering software within a professional engineering team would be beneficial.
Key Responsibilities:
Design, develop, test, and deploy well-defined machine learning, computer vision, or data-driven features across embedded, cloud, and app platforms
Work with machine learning specialists, data operations teams, UX/UI designers, and software engineers to solve engineering problems and deliver agreed outcomes
Develop and maintain data pipelines and workflows for collecting, processing, and using sensor data
Analyze user and device data to support feature development and improve models or algorithms
Integrate model outputs into user-facing interfaces in collaboration with UX/UI and application teams
Contribute to proof-of-concept activities, including data collection, annotation, feature bring-up, and evaluation
Deploy models and evaluate performance across hardware and software platforms, particularly edge devices
Develop and use well-defined APIs and interfaces for machine learning and data-driven features
Identify and raise technical risks, blockers, and quality concerns promptly, working with experienced engineers on complex issues
Build prototype demonstrators and carry out structured evaluations of new ideas
Contribute to the maintenance and improvement of CI/CD infrastructure for model and software delivery
Participate actively in code reviews, technical discussions, documentation, and knowledge-sharing activities
Maintain a strong focus on product quality, performance, user experience, and reliable feature delivery
About you
Key Skills / Experience
A bachelor’s degree in Computer Science, Electronics Engineering, Computer Engineering, Applied Mathematics, or a related discipline with a strong quantitative foundation
Working knowledge of image classification, segmentation, embeddings, or feature extraction
1–2 years of relevant industry experience in computer vision, machine learning, data science, or software development
Practical experience with the machine learning development lifecycle, including data preparation, model training, evaluation, and deployment
Practical knowledge of machine learning fundamentals such as data visualisation, data cleaning, classical machine learning methods, and deep learning
Hands-on experience deploying or integrating computer vision or machine learning applications on embedded systems or edge devices is desirable
Experience using libraries and tools such as OpenCV, scikit-learn, NumPy, SciPy, or PyTorch
Object-oriented programming skills and the ability to write clear, maintainable, and testable code in C++ or Python; experience with both is an advantage
Experience working in Linux development environments; exposure to embedded programming, model deployment, debugging, or performance analysis is desirable
Exposure to AWS, Google Cloud, or Microsoft Azure in a professional or project environment is a plus
A logical and structured approach to problem-solving, debugging, and troubleshooting, with the ability to work independently on well-defined tasks
Good communication skills and the ability to explain technical information clearly to colleagues from different disciplines
Demonstrated ability to collaborate effectively within software and interdisciplinary engineering teams
A growth mindset, openness to feedback, and willingness to develop deeper technical expertise
Self-motivated, responsible, and committed to delivering high-quality work as part of a team
Fluent in spoken and written English
Dyson is an equal opportunity employer. We know that great minds don’t think alike, and it takes all kinds of minds to make our technology so unique. We welcome applications from all backgrounds and employment decisions are made without regard to race, colour, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other any other dimension of diversity.