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INTERNSHIP DETAILS

NPI Intern

CompanyDyson

LocationSingapore

Work ModeOn Site

PostedMarch 11, 2026

Internship Information

Core Responsibilities

The intern will be assigned to a live project team, contributing to intelligence feature concepts within the Robotics team. Responsibilities include designing, implementing, and testing software components in C++ and Python, researching robot learning methods, and working with physical robot platforms.

Internship Type

other

Company Size

12084

Visa Sponsorship

Language

English

Working Hours

40 hours

Apply Now →

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the company's application page

About The Company

Dyson solves real-world problems and creates better products through the application of engineering, science, design and creativity. It is a family-owned, global technology company, founded by Sir James Dyson who remains at the helm alongside his son Jake. Since inventing the first cyclonic bagless vacuum cleaner, the DC01, Dyson has consistently invested in research and development to improve its products and technologies radically. Dyson offers products across a growing range of areas: floorcare, air purification, robotics, haircare including formulations, lighting, hand drying, and most recently audio. Dyson continues to expand into new areas. Today, Dyson sells products in more than 80 markets, has 450 Dyson stores worldwide and is available in all major technology and beauty retailers. Dyson has global headquarters in Singapore and major technology campuses in Singapore, the UK, Malaysia, and the Philippines. Its global team of engineers, scientists and software developers are focused on developing technology-enabled products which work better and which people love to use. Key areas of focus have included high-speed electric digital motors, sensing and vision systems, robotics, machine learning and aerodynamics. Beyond products, to encourage an inventive future, Dyson is also inspiring the next generation of engineers and inventors through the Dyson Institute of Engineering and Technology, the James Dyson Foundation and the James Dyson Award. The Dyson family applies its problem-solving approach in other fields, and established Dyson Farming in 2012. It is one of the largest farming businesses in the UK, extending to 36,000 acres across Lincolnshire, Oxfordshire, Gloucestershire and Somerset. It is a family-owned enterprise unlike any other, focussed on long-term investment in British farming and the countryside to grow tasty and nutritious food.

About the Role

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 team in New Product Innovation develops feature and format proofs-of-concept using using state of the art techniques and integrating all aspects of robotics to create robotic products that are truly different and better.

About The Role

You’ll be assigned to a live project team putting your university learning into practice from the get go. Your internship will either have a Robot Learning or Software focus and contribute to intelligence feature concepts. Depending on your area of expertise and the project, your responsibilities may include:

Designing, implementing, testing or extending functional components and tools of our software platform 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

This is an exciting opportunity for aspiring Robotics Engineers to join our dynamic team, learn valuable skills and make a real impact on innovative projects!

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

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.

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.

Key Skills

PythonC++Robot LearningSoftware DevelopmentMachine LearningDesign of ExperimentsRoboticsSoftware PlatformROS2Deep LearningPyTorchPhysics SimulatorsMuJoCoIsaac SimSemantic UnderstandingInteractive Navigation