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 Data Office, part of Marvell’s CIO organization, builds the data and analytics foundation that helps the company make faster, better decisions across supply chain, finance, engineering, sales, and operations. Our team engineers the data pipelines that bring Marvell’s core enterprise systems together on modern platforms such as Databricks, Snowflake, and Power BI, and turns that data into trusted datasets, dashboards, machine learning models, and AI agents. Our work helps Marvell predict supply risk, improve product development efficiency, and put AI-driven insights in the hands of business leaders. As an intern, you will work on real projects that go into production and are used by teams across the company.
What You Can Expect
- Build and maintain scalable data pipelines (ETL/ELT) in Databricks and Snowflake that ingest, clean, and transform data from enterprise systems, with automated data quality checks
- Develop, evaluate, and deploy machine learning models and AI applications, including LLM-based and agentic workflows, that solve real business problems in areas such as supply chain, engineering productivity, or finance
- Analyze large, multi-source datasets to uncover trends, anomalies, and opportunities for improvement, and define the metrics that measure them
- Design interactive dashboards and visualizations in Power BI that communicate insights to business stakeholders
- Document pipelines and models, and present findings and recommendations to your mentor, the Data Office team, and business partners at the end of your internship
This is a hybrid role. You will be paired with a technical mentor and will meet regularly with the team to review progress and get feedback.
What We're Looking For
- Currently pursuing a Master’s Degree in Data Science, Computer Science, Statistics, Data Engineering, or a related field with an expected graduation date between Fall 2027 – Summer 2028
- Proficiency in Python for data processing, analysis, and modeling (e.g., pandas, NumPy, scikit-learn), and strong SQL skills for querying, transforming, and modeling large datasets
- Understanding of data engineering fundamentals, including ETL/ELT design, data warehousing, data modeling, and pipeline orchestration concepts
- Solid foundation in statistics, machine learning, and exploratory data analysis, with familiarity with modern AI models such as large language models (LLMs)
- Ability to communicate technical findings clearly to both technical and non-technical audiences
- Preferred: Hands-on experience with data platforms and tools such as Databricks, Snowflake, Spark/PySpark, Delta Lake, Airflow, or dbt
- Preferred: Experience building dashboards and reports in Power BI, Tableau, or similar BI tools
- Preferred: Hands-on experience building AI applications with LLMs and agentic frameworks such as LangChain, LangGraph, or similar, including RAG, prompt engineering, and tool integrations (e.g., MCP)
- Preferred: Prior project, internship, or research experience in data engineering or data science, with familiarity with cloud platforms (AWS or Azure) and Git/CI/CD
Expected Base Pay Range (USD)
32 - 63, $ 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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