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 projectsMinimum 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