Intern, Systems Engineering - Compute AI Hardware Platforms

Remote, USA Full-time
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. 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. 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. 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. Apply tot his job
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