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 TAOps@marvell.com.
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.
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