About the role#
As a Digital Twin Engineering Intern, you will support the development of virtual representations for data lab spaces, equipment, and infrastructure. You will work alongside engineers on modeling, data integration, validation, and documentation tasks. This role offers practical experience applying engineering knowledge to digital twins and facilities data within a technical, multidisciplinary environment.
What you'll do#
- Support the development and maintenance of digital twins for data labs using NVIDIA Omniverse and OpenUSD.
- Create accurate 3D representations of lab spaces and equipment using engineering information.
- Convert and organize 3D data into reusable OpenUSD assets and structured scenes.
- Integrate mechanical, electrical, and facilities infrastructure into digital twin models.
- Compare digital models against engineering drawings, layouts, and physical environments to identify discrepancies.
- Collaborate with stakeholders to gather information for updating models.
- Follow established modeling conventions, file-management practices, and documentation standards.
- Document digital twin assets, data sources, and modeling decisions.
- Test scenes and assets to identify and resolve issues with the team.
- Communicate progress and suggest improvements to workflows and usability.
What you'll need#
- Current enrollment in a bachelor's degree program in computer engineering, computer science, mechanical engineering, electrical engineering, integrated engineering, or a related field.
- A foundation in engineering principles and an interest in digital representations of physical environments.
- Experience or interest in 3D modeling, simulation, visualization, or digital twin technologies.
- Ability to interpret engineering drawings, layouts, and technical documentation.
- An analytical approach to problem-solving and attention to detail.
- Ability to organize work, follow processes, and learn new software.
- Clear written and verbal communication skills.
- Familiarity with NVIDIA Omniverse, OpenUSD, CAD tools, or Python is preferred.
- Basic understanding of data centers, building systems, or facilities infrastructure is a plus.
Location & details#
- Location: Austin, Texas, United States.
- Modality: On-site.
- Term: Summer 2027 (12-week program, May through August).
- Status: Full-time internship.
- Compensation: This is a paid position.
About Graphcore
Graphcore designs hardware and software for artificial intelligence computation. Founded in 2016, the company develops silicon and infrastructure for datacenter scale operations. It is based in Bristol and functions as a member of the SoftBank Group. The company employs between 201 and 500 people.
How to get in at Graphcore
Securing an internship at Graphcore requires speed because early applicants are often reviewed before the candidate pool becomes unmanageable. Intern Insider sends an instant alert the moment a role matching your target is published anywhere, so you can submit your materials among the first. Applying early helps you stand out in a competitive field. You should also look for ways to connect with the team directly. Intern Insider surfaces the recruiters behind the company roles so you can reach out to ask about the position or a referral, which materially improves your response rates. Reaching a human directly is often more effective than submitting an application into a queue.
