Digital Twin Engineering Intern

Spend your summer building digital twins of the labs behind next-generation AI systems.

As a Digital Twin Engineering Intern, you will support virtual models of data lab spaces, equipment and infrastructure during a 12-week, full-time summer internship.

You will help turn engineering information into accurate 3D scenes and reusable digital assets. Your work will support teams developing and testing advanced AI compute systems in Austin.

You will create models, integrate facilities data, check accuracy and document your approach. You will also compare digital twins with drawings, layouts, records and physical environments.

This internship is built for students who enjoy practical engineering and visual problem-solving. You will learn from experienced engineers while building skills across digital twins, 3D data and technical documentation.

The Digital Twin Engineering team connects physical infrastructure with virtual tools. Work happens through clear modeling tasks, engineering data, structured reviews and feedback from experienced engineers.

You will gather information from engineers and stakeholders, then turn it into usable digital twin assets. Accuracy matters, and decisions are guided by drawings, records, measurements and real lab conditions.

The team values curiosity, organization and people who ask questions early. You will have defined work, regular guidance and the chance to improve how virtual lab environments are built.

• Current enrollment in a bachelor’s degree in computer engineering, computer science, mechanical engineering, electrical engineering, integrated engineering or a related field.
• Interest in applying engineering principles to digital representations of physical spaces, equipment and infrastructure.
• Experience with, or interest in learning, 3D modeling, visualization, simulation or digital twin technologies.
• Ability to interpret basic engineering drawings, layouts, diagrams or technical documentation.
• Careful attention to accuracy, detail, file organization and clear documentation.
• Clear communication skills and the ability to learn new software with guidance.

While we have outlined a set of requirements, we value transferable skills and diverse experiences. 

Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry.

As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.

Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore brings together deep expertise to solve complex problems and deliver meaningful progress in AI compute.

Ready to spend your summer building digital twins that support advanced AI engineering?