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At Dyson, Virtual Engineering equips our engineers with advanced simulation and analysis toolsANSYS Mechanical, Fluent, LS-Dyna, and BETA CAE ANSA/METAto solve complex design challenges. Our team of mechanical engineers is modernising how we work under our StAND vision:
Standardise our processes, Automate routine work, and Democratise access to simulation across Dyson.
You'll play a vital role in building and automating simulation workflows to help Dyson teams work faster and more consistently. Over 12 months, youll write and refine scripts and tools that support simulation setup, automation, and deployment for platforms like ANSYS, Fluent, LS-Dyna, and ANSA/METAmaking our workflows more productive and accessible.
A core requirement is the effective use of GitHub to accelerate coding and apply spec-driven coding practices. You will also help usdeploy the Model Context Protocol (MCP) to make Copilot smarter, ensuring it has the specific context needed to write accurate code for our specialized engineering tools.Youll share these workflows within our Community of Practice, helping our engineers embrace modern, AI-assisted scripting.
Depending on your progress, youll also contribute to our data strategy by exploring Neo4jboth to build a digital thread across our simulation and product data, and to make engineering knowledge accessible to LLMs for advanced AI-driven automation.
Youll document your work, support workflow improvements, and collaborate closely with mechanical engineers to ensure real-world benefit and long-term value.
Youre an undergraduate studying Computer Science or a related field, strong with Python and interested in coding for engineering.
Proficient in GitHub Copilot and spec-driven developmentyou use it everyday, keep up with new features, and are keen to help others adopt it effectively.
Interested in automation, and ready to learn simulation platforms such as ANSYS or ANSA/META in a practical setting.
Comfortable understanding technical documentation and translating it into scripts or clear workflows.
Curious about the potential of AI integrations (like MCP) and data connectivity (like Neo4j) in a real engineering environment.
Communicate clearly, enjoy collaboration and documentation, and proactively share lessons learned.
Self-motivated, with a drive to experiment, ask questions, and help the team work smarter.
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 dont 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.
Dyson Limited, commonly known just as Dyson, is a Singaporean multinational technology company founded by James Dyson. First established in 1991 at Malmesbury, England, it designs and manufactures household appliances such as vacuum cleaners, air purifiers, hand dryers, bladeless fans, heaters, hair dryers, and lights. As of February 2018, Dyson had more than 12,000 employees worldwide
Job ID: 143587091
