Intern, Systems Engineering - Compute AI Hardware Platforms

ARM • San Jose, CA

71d • Hybrid

About The Position

A re you curious about how powerful computers and AI systems are built — from the chips inside to the datacenters that run them? In this role, you'll get hands-on experience designing, testing, and analyzing the hardware and software that make next-generation computing possible. You will be part of a team of engineers who work across multiple domains — from processors and memory to cooling systems and automation tools. Together, you'll explore how electrical and computer engineering principles shape the future of high-performance and energy-efficient computing systems.

Requirements

• 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

• Regular feedback and development opportunities.
• Social activities to connect with peers.
• End of internship celebration.
• Opportunity to be considered for future Graduate positions (subject to performance).
• Competitive salary and rewards package.
• On-the-job learning and mentoring/buddy schemes.

What This Job Offers

• Career Level: Intern
• Education Level: Bachelor's degree