NPI Intern

AboutUs

At Dyson we are encouraged to think differently challenge convention and be unafraid to make mistakes.Werecreative 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 team in New Product Innovation develops feature and formatproofs-of-conceptusingusingstate of the arttechniques and integrating all aspects ofrobotics to create robotic productsthat aretruly differentand better.

About The Role

Youllbe assigned to a live project team putting your university learning into practicefrom the get go.Your internship will either have aRobot LearningorSoftwarefocus and contribute to intelligence feature concepts.Depending on your area of expertiseand the project yourresponsibilitiesmay include:

• Designing implementingtestingor extendingfunctional components and tools of our software platform in C and Python

• Researchingevaluatingandpotentiallyintegratingstate of the artRobot Learningmethods

• EmployingDesign of Experiments to benchmarkmethod or systemperformance

• Working with physicalrobot platforms and components

• Collaboratingclosely with teammates and experts in robotics softwarehardwareand machine learning

• Proactively adoptingbestengineering practices within the Dyson framework

This is anexciting opportunity for aspiringRoboticsEngineers to joinour dynamic team learn valuable skills and make a real impact on innovative projects!

About You

Youreenthusiastic about technology creative and tenacious in your approach to problem solving.Youreinquisitive by naturehungry to learn and ready to get stuck in which will allow youtocontributeto live projects from the start.Youllfurther 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 oftechnical 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 ROS2Deep Learning frameworks (PyTorch) or physicssimulators(MuJoCo Isaac Sim)

• Prior research or engineering experiencewithsemantic understanding interactive navigation multi-modal generative models finetuning foundations modelsor whole-body control of articulated robots is a plus

Working for us

Our internship programme connects academic theory with practical experience. Gain valuable insights into professional applications through mentorships with our industry-leading experts and exposure to cutting-edge practices.

Join our internship programme to jumpstart your career. We look to offer selected high-performing interns an opportunity to return on our graduate programme.