Graphcore Digital Twin Engineering Intern at Graphcore to build digital twins of labs behind next-generation AI systems using NVIDIA Omniverse and OpenUSD. Responsibilities include creating models, integrating data, and ensuring accuracy.
Responsibilities
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 team and culture
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.
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.
Qualification
Experience withCareful attention to accuracyBasic understanding of data centersExposure to scripting or programmingExperience with engineering modelsThese qualifications are helpfulEqual Opportunity and Accommodations
Required
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. We also welcome engineers returning to the profession after a career break, including through returnship routes.
Preferred
Familiarity with NVIDIA Omniverse or another digital twin platform.
Familiarity with OpenUSD or other scene-description and 3D data formats.
Experience with CAD or 3D modeling tools through coursework, university projects, personal projects, research, or a previous internship.
Basic understanding of data centers, laboratories, building systems, facilities infrastructure, or related engineering environments.
Exposure to scripting or programming, particularly Python.
Experience with engineering models, simulation tools, automation, or visualization software.
These qualifications are helpful, not required. We encourage you to apply even if you do not meet every preferred qualification.
