Production System Engineer Project Intern (Server DevOps) - 2027 Start

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    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

    Description

    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

    LocationSan Jose, CA

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