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
Numbers & Facts
Location
San Jose, CA
Skills
Artificial Intelligence (AI)unmatched
Artificial Intelligence (AI) Agentsunmatched
Automationunmatched
Automation Engineeringunmatched
Bash Scriptingunmatched
CPU (Central Processing Unit)unmatched
Communication Skillsunmatched
Computer Engineeringunmatched
Computer Firmwareunmatched
Computer Storage Hardwareunmatched
DevOpsunmatched
Distributed Computingunmatched
Divingunmatched
Documentationunmatched
Engineeringunmatched
Fleet Managementunmatched
GPU (Graphics Processing Unit)unmatched
Go Programming Language (Golang)unmatched
Groundskeepingunmatched
Hardware Designunmatched
Identify Issuesunmatched
Information Technology & Information Systemsunmatched
Knowledge Baseunmatched
Linux Administrationunmatched
Linux Operating Systemunmatched
Metricsunmatched
Network Operations Centerunmatched
Network Performance/Analysisunmatched
Open Sourceunmatched
Operating Systemsunmatched
Problem Solving Skillsunmatched
Production Systemsunmatched
Python Programming/Scripting Languageunmatched
Root Cause Analysisunmatched
Scripting (Scripting Languages)unmatched
Server Hardwareunmatched
Supply Chainunmatched
System Architectureunmatched
Systems Engineeringunmatched
Team Lead/Managerunmatched
Team Playerunmatched
Vehicle Fleetsunmatched
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