Hardware Platform Development Intern

Build your first real systems engineering experience on AI hardware you can measure, test and improve.

As a Systems Engineering Intern in Austin, you will contribute to projects across hardware, firmware and software engineering. You will help validate advanced AI compute platforms from subsystem behaviour to full system performance.

You will support CPU and high-speed input and output subsystem work, including lab testing, automation and data analysis. Your work will help engineers understand performance, power, signal behaviour and reliability.

You will gain hands-on experience with technologies such as PCIe 6.0, 800G Ethernet and high-performance cooling. You will own defined technical tasks with guidance, then document your methods, results and conclusions.

This internship is a chance to turn academic learning into practical engineering judgement on real AI hardware.

You will join systems engineers who work across hardware, firmware, software, mechanical and thermal teams. Work happens through lab measurement, script-driven validation, shared debugging and clear engineering notes.

You will be given defined problems to own, with guidance from engineers who expect curiosity and careful thinking. Decisions are made through data, reproducible results and open technical review.

The team values people who think big, act fast, take responsibility and speak up. As an intern, you will be encouraged to ask questions, test assumptions and build confidence.

• Current enrollment in a bachelor's, master's or doctoral program in electrical engineering, computer engineering, computer science or a closely related field
• Hands-on lab testing or technical measurement experience through coursework, research, student teams, internships or personal projects
• Experience with at least one programming or scripting language, such as Python, C, C++ or MATLAB
• Foundational understanding of computer architecture, digital systems, embedded systems or hardware-software interaction
• Analytical problem-solving skills and interest in how hardware, firmware and software operate together
• Clear documentation habits, constructive communication and willingness to learn unfamiliar tools 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.

If you want an internship where your scripts, measurements and questions help shape real AI hardware, we’d love to hear from you.