About the role#
As an AIOps Forward Deployment Engineer Intern, you will join the Employee Experience and Digital Workplace team. Your work will focus on AI-assisted IT support and automation. Working alongside a mentor, you will contribute to a project designed to help the team detect issues earlier, consolidate troubleshooting evidence, and reduce repetitive operational tasks.
What you'll do#
- Identify practical problems that AI or automation can help solve.
- Build scripts, workflows, or AI-powered prototypes with guidance from engineers.
- Analyze sample tickets, alerts, and knowledge articles to find troubleshooting patterns.
- Experiment with AIOps tools and share your findings with the team.
- Connect device-health and support signals through APIs.
- Test rules for grouping repeated alerts or identifying unusual patterns.
- Review missed issues and false alarms with your mentor.
- Improve AI-assisted troubleshooting workflows by checking answers against technical evidence.
- Document gaps and propose changes for review.
- Test prototypes and improve them based on feedback.
- Present your project in a clear, practical demo.
- Follow team guidance regarding privacy, security, and work in test environments.
What you'll need#
- Currently pursuing a Bachelors degree in computer science, computer engineering, information systems, data science, AI/ML, or a related field.
- Expected graduation date between Fall 2027 and Summer 2028.
- Passion for AIOps and applying AI to IT operations.
- Familiarity with the AIOps space and emerging tools.
- Ability to write and debug basic code in Python, JavaScript, PowerShell, or similar languages.
- Foundational knowledge of REST APIs, JSON, and Git.
- Hands-on experience with at least one small AI or automation project.
- Understanding of logs, metrics, alerts, and network troubleshooting concepts like latency and packet loss.
- Basic understanding of how large language models use prompts and retrieved information.
- Ability to explain work clearly to technical and nontechnical teammates.
- Detail-oriented approach to verifying AI-generated answers.
- Eligibility to access export-controlled information.
Location & details#
- Location: Santa Clara, California.
- Term: Summer 2027.
- Modality: On-site.
- Employment: Full-time internship.
- Compensation: Paid position.
About Marvell Technology
Marvell Technology is a semiconductor manufacturing company based in Santa Clara, California. It provides hardware solutions for cloud infrastructure, data centers, and enterprise systems. The company employs over 11,000 people across global offices. Its technical focus includes wireless and wireline connectivity, storage, and consumer electronics.
How to get in at Marvell Technology
Applying early for an internship at Marvell Technology provides a distinct advantage, as recruiters often review candidates before the applicant pool becomes unmanageable. Intern Insider sends an instant alert the moment a role matching your target is published anywhere, so you apply among the first and get seen before the pile grows. Reaching out to the right person can also help you stand out from the crowd. Intern Insider surfaces the recruiters behind the company roles so you can reach out directly to ask about the position or a referral, which materially improves response rates.
