Intern, Systems Engineering - Compute AI Hardware Platforms

Graphcore • Austin, TX

7d

About The Position

About Us
Graphcore is a globally recognised leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialised processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption.
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. We are opening a new AI Engineering Campus in Austin, which will play a central role in Graphcore's work building the future of AI computing.
What you'll be doing as a Systems Engineering Intern:
During your internship, you’ll take part in projects that combine hardware, firmware, and software engineering. You might:
Help design and test CPU and high speed IO subsystems, learning how to measure and improve performance, power, and reliability.
Work with engineers on system-level validation and automation, creating scripts and tools to streamline testing and data analysis.
Explore emerging IO technologies (like PCIeG6 and 800G Ethernet) and how they support advanced computing workloads.
Support investigations into power, cooling, and energy efficiency, including liquid cooling systems for high-performance processors.
Collaborate across teams to understand how different components — from chips to full systems — come together in real-world platforms.
You’ll apply what you’ve learned in class while gaining exposure to tools and methods used in modern hardware design and system development. Along the way, you’ll be supported by experienced mentors who will help guide your technical and professional growth!

Requirements

• Are currently enrolled in a Bachelor’s, Master’s, or PhD or equivalent experience program in Electrical Engineering, Computer Engineering, Computer Science or a closely related field.
• Experience with hands-on lab testing, performing measurements with power meters, oscilloscopes or logic analyzers.
• Experience in at least one programming or scripting language (such as Python, C/C++, or MATLAB)

Nice To Haves

• Strong analytical and problem-solving skills, with an interest in understanding how hardware and systems work.
• Curiosity about technology beyond the classroom — such as personal projects, hackathons, or research work.
• An ability to learn new tools and technologies quickly and adapt to complex engineering challenges.
• Good teamwork and communication skills, with a willingness to collaborate across fields.

Responsibilities

• Help design and test CPU and high speed IO subsystems, learning how to measure and improve performance, power, and reliability.
• Work with engineers on system-level validation and automation, creating scripts and tools to streamline testing and data analysis.
• Explore emerging IO technologies (like PCIeG6 and 800G Ethernet) and how they support advanced computing workloads.
• Support investigations into power, cooling, and energy efficiency, including liquid cooling systems for high-performance processors.
• Collaborate across teams to understand how different components — from chips to full systems — come together in real-world platforms.

Benefits

• In addition to a competitive salary, Graphcore offers a competitive benefits package.
• We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone.
• We offer an equal opportunity process and understand that there are visible and invisible differences in all of us.
• We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

What This Job Offers

• Career Level: Intern