About Us

At Dyson we are encouraged to think differently, challenge convention and be unafraid to make mistakes. We're creative, collaborative, practical and enthusiastic.

Dyson offers a unique opportunity for skilled individuals to invent, design and develop market leading products for the global market. The Robotics Innovation team develops feature and format proofs-of-concept using state of the art techniques and integrates all aspects of robotics to create robotic products that are truly different and better.

About The Role

As a Graduate Robotics Software Engineer, you will design and develop core robotics behaviours and features for intelligent products, contributing to high-performance, reliable, and scalable robotic systems. You will work within a cross-functional team to solve real-world robotics problems, particularly in autonomous behaviours and perception. Your responsibilities may include:

Contributing to the ideation, exploration and proof-of-concept implementation of new feature and product concepts
Designing, implementing, testing or extending functional components and tools of our software platforms in C++ and Python
Researching, evaluating and potentially integrating state of the art Robot Learning methods
Employing Design of Experiments to benchmark method or system performance
Working with physical robot platforms and components
Collaborating closely with team mates and experts in robotics, software, hardware and machine learning
Proactively adopting best engineering practices within the Dyson framework

About You

You're enthusiastic about technology, creative and tenacious in your approach to problem solving. You're inquisitive by nature, hungry to learn and ready to get stuck in, which will allow you to contribute to live projects from the start. You'll further need:

Fundamental knowledge of Python and/or C++
Ability to apply your programming skills effectively in real-world projects
Ability to work independently on tasks while knowing when to seek clarification, support, or feedback
Clear communication of technical concepts, both verbally and in documentation
Demonstrable experience applying your skills through course, personal or society projects
A creative approach to problem-solving, combined with strong attention to detail
Prior experience with ROS2, Deep Learning frameworks (PyTorch) or physics simulators (MuJoCo, Isaac Sim)
Prior research or engineering experience with semantic understanding, interactive navigation, multi-modal generative models, finetuning foundations models or whole-body control of articulated robots is a plus

Robotics Engineer - NPI Robotics