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Job Opening

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AIOps Forward Deployment Engineer Intern, BS - Summer 2027

Marvell Technology · Santa Clara, CA · Posted 10 days ago

ic
PythonJavaScriptPowerShellREST APIsJSONGitAIOpsLarge Language Models

Help build an AI-assisted IT troubleshooting prototype that detects issues earlier and cuts repetitive operations work for Marvell's global workforce, with a mentor guiding you.

Your Team, Your Impact

The Employee Experience and Digital Workplace team builds and supports the digital tools and experiences that help Marvell employees collaborate, find information, and work effectively. Day to day, we manage workplace platforms, drive adoption through training and communication, and use employee feedback to keep improving. This removes friction for teams worldwide so they can focus on delivering Marvell’s data infrastructure solutions to cloud, AI, and carrier customers.

Your internship will focus on AI-assisted IT support and automation. With a mentor, you’ll contribute to a focused project that helps the team detect issues earlier, bring troubleshooting evidence together, or reduce repetitive operational work. What You Can Expect

  • Work with a mentor and IT teammates to understand a practical problem that AI or automation could help solve
  • Build a small script, workflow, or AI-powered prototype with guidance from experienced engineers
  • Explore approved sample tickets, alerts, or knowledge articles to find useful patterns and troubleshooting information
  • Try out relevant AIOps tools and ideas, and share what you learn with the team
  • Help connect approved device-health, meeting-quality, or support signals through APIs, and bring related information together to support troubleshooting
  • Test simple rules for grouping repeated alerts or identifying unusual patterns, and review missed issues and false alarms with your mentor
  • Help improve an AI-assisted troubleshooting workflow by checking its answers against technical evidence, documenting gaps, and proposing changes for engineer review
  • Test your prototype, check whether AI-generated answers are useful and accurate, and improve it based on feedback
  • Follow team guidance on privacy and security, and work in a test environment with engineers reviewing any production changes
  • Present your project back to the team in a clear, practical demo, including what worked and what you learned

What We're Looking For

…

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