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Intern, Systems Engineering - Compute AI Hardware Platforms

Arm

Salary not specified
Oct 16, 2025
San Jose, CA, US
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Designing, testing, and analyzing the hardware and software that make next-generation computing possible, including CPU and high speed IO subsystems, system-level validation and automation, emerging IO technologies, power, cooling, and energy efficiency

Requirements

  • Experience with hands-on lab testing
  • Experience in at least one programming or scripting language (such as Python, C/C++, or MATLAB)
  • 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
  • Experience with electrical and computer engineering principles

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
  • Apply what you’ve learned in class while gaining exposure to tools and methods used in modern hardware design and system development
  • Perform measurements with power meters, oscilloscopes or logic analyzers

Other

  • 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
  • Ability to receive regular feedback and development opportunities
  • Ability to participate in social activities to connect with peers
  • Ability to be considered for future Graduate positions (subject to performance)
  • Need for accommodations or adjustments during the recruitment process