Production System Engineer Intern

Our Server Fleet Operations team manages the full lifecycle of servers powering our self-built data centers across the United States and Europe: from new hardware rollout to decommissioning. We work at the center of a large network of teams, including hardware design, data center operations, field maintenance, supply chain, and automation engineering, to keep our global infrastructure running reliably and efficiently at scale. As a Project Intern, you will contribute to impactful short-term projects and gain hands-on experience in a fast-paced, professional environment. This internship offers the opportunity to develop practical skills, apply your knowledge to real-world challenges, and explore your career interests. Applications are reviewed on a rolling basis, so we encourage you to apply early. What You'll Do - Get hands-on with server deployment, monitoring, and maintenance across CPU and GPU fleets - Write scripts and small tools (Python, Bash, or similar) to automate repetitive operational tasks - Learn to troubleshoot real Linux issuesL OS, hardware, storage, networking, and performance - Explore GPU and AI infrastructure, and contribute to the tools that keep it reliable - Dig into infrastructure data and metrics to spot trends and improvement opportunities - Experiment with applying AI/LLMs to infrastructure troubleshooting and operations - Support incident investigations and root-cause analysis alongside senior engineers - Help write and improve documentation, runbooks, and internal knowledge bases - Collaborate with engineers across hardware, ops, platform, and supply chain teams on real projects Minimum Qualifications: - Currently pursuing a Bachelor's or Master's student in CS, Computer Engineering, EE, IT, or a related field - Comfortable with basic Linux administration and troubleshooting - Some scripting/programming experience (Python, Bash, Go, or similar) - Basic understanding of hardware, OS concepts, networking, or distributed systems - Some exposure to server hardware, firmware (BIOS/UEFI), or system architecture Preferred Qualifications: - Hands-on experience from projects, labs, internships, open-source work, or competitions, academic or personal - Curiosity about AI agents, LLMs, or AI-powered automation - Strong problem-solving instincts and comfort diving into unfamiliar technical territory - Good communication skills and enjoys working as part of a team