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生产系统工程师项目实习生 - 2027年入职

雇主

ByteDance

地点

New York · New York · 美国

待遇

$面议

工作模式

线下

截止日期

1月7日

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岗位摘要

Contribute to server fleet operations projects, automating tasks and troubleshooting Linux systems.

岗位职责

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

申请条件

No specific qualifications mentioned in the original description.

雇主简介

ByteDance is a global technology company known for its content platforms, and its infrastructure team builds and manages hyper-scale data centers worldwide, focusing on power and energy management for data center operations.

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数据来源:ByteDance

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