About Marvell Marvell’s semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, and carrier architectures, our innovative technology is enabling new possibilities. At Marvell, you can affect the arc of individual lives, lift the trajectory of entire industries, and fuel the transformative potential of tomorrow. For those looking to make their mark on purposeful and enduring innovation, above and beyond fleeting trends, Marvell is a place to thrive, learn, and lead. 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 Currently pursuing a Bachelors degree in computer science, computer engineering, information systems, data science, AI/ML, or a related field with an expected graduation date between Fall 2027 – Summer 2028. Genuinely passionate about AIOps and eager to build a career applying AI and automation to IT operations. Well versed in what’s happening in the AIOps space; actively follows emerging tools, approaches, and use cases, and can discuss examples explored through reading, coursework, technical communities, or personal projects. Comfortable writing and debugging basic code in Python, JavaScript, PowerShell, or a similar language; coursework and personal projects count. Basic familiarity with REST APIs, JSON, and Git; able to follow documentation to retrieve sample data, inspect a response, and track code changes Hands-on experience with at least one small AI or automation project through coursework, a personal project, or a hackathon; able to explain the problem, your contribution, and how you checked the results Foundational understanding of logs, metrics, and alerts, plus basic device or network troubleshooting concepts such as CPU usage, latency, and packet loss; deep expertise is not expected Basic understanding of how large language models use prompts and retrieved information, including why a convincing answer may still be incorrect Willingness to handle operational data responsibly, protect credentials, use approved tools, and seek guidance before an automation takes action Naturally curious and willing to ask questions, try unfamiliar tools, and learn from feedback Able to explain your work clearly and collaborate with technical and nontechnical teammates Careful and detail-oriented; checks results rather than assuming an AI-generated answer is correct Coursework, personal projects, and hackathons can demonstrate these foundations. Previous internships, professional AIOps experience, production deployment experience, and familiarity with our internal platforms are not required. Expected Base Pay Range (USD) 32 - 65, $ per hour. The successful candidate’s starting base pay will be determined based on job-related skills, experience, qualifications, work location and market conditions. The expected base pay range for this role may be modified based on market conditions. Additional Compensation and Benefit Elements Marvell is committed to providing exceptional, comprehensive benefits that support our employees at every stage - from internship to retirement and through life’s most important moments. Our offerings are built around four key pillars: financial well-being, family support, mental and physical health, and recognition. Highlights for our interns: medical, dental, and vision coverage, perks and discounts, robust mental health resources to prioritize emotional well-being, and paid holidays. Additional compensation may be available for intern PhD candidates. We look forward to sharing more with you during the interview process. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Any applicant who requires a reasonable accommodation during the selection process should contact Marvell HR Helpdesk at [email protected]. Interview Integrity To support fair and authentic hiring practices, candidates are not permitted to use AI tools (such as transcription apps, real-time answer generators like ChatGPT or Copilot, or automated note-taking bots) during interviews. These tools must not be used to record, assist with, or enhance responses in any way. Our interviews are designed to evaluate your individual experience, thought process, and communication skills in real time. Use of AI tools without prior instruction from the interviewer will result in disqualification from the hiring process. This position may require access to technology and/or software subject to U.S. export control laws and regulations, including the Export Administration Regulations (EAR). As such, applicants must be eligible to access export-controlled information as defined under applicable law. Marvell may be required to obtain export licensing approval from the U.S. Department of Commerce and/or the U.S. Department of State. Except for U.S. citizens, lawful permanent residents, or protected individuals as defined by 8 U.S.C. 1324b(a)(3), all applicants may be subject to an export license review process prior to employment. #LI-TT1 Join our talent community to hear about company news, job openings and events. Join our Talent Community! Marvell’s semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, automotive, and carrier architectures, our innovative technology is enabling new possibilities. At Marvell, you can affect the arc of individual lives, lift the trajectory of entire industries, and fuel the transformative potential of tomorrow. For those looking to make their mark on purposeful and enduring innovation, above and beyond fleeting trends, Marvell is a place to thrive, learn, and lead. Recruitment fraud is a well-known way that third parties try to get personal information or to steal money from you. Please review Marvell’s guidance here to learn more on how you can protect yourself.

AIOps Forward Deployment Engineer Intern, BS - Summer 2027.

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