AI Infrastructure Engineer Intern

Job Title

AI Infrastructure Engineer Intern

Role Summary

The CTO Office AI Research Group at Marvell Israel seeks an intern to build data infrastructure and preprocessing pipelines for machine-learning research related to semiconductor chip design. The role is hands-on and focused on turning large, messy, real‑world datasets into clean, model‑ready assets.

Experience Level

Entry-level. Targeted to an advanced BSc student; no specific years of professional experience required.

Responsibilities

Primary responsibilities include:

• Collect, clean, normalize, and sanitize large-scale chip-design datasets from diverse sources and formats.
• Build and maintain scripts and pipelines to automate data extraction and transformation tasks.
• Parse and process multiple file formats (JSON, CSV, Parquet, logs, domain-specific EDA formats).
• Work with structured and semi-structured data using SQL and Python tooling.
• Navigate codebases and directory structures to locate, extract, and interpret relevant data.
• Collaborate with researchers and engineers to meet data requirements and deliver model-ready datasets.
• Document data sources, transformation logic, and dataset versions in shared repositories.

Requirements

Must-have technical skills and expectations:

• Proficient in Python with practical experience using pandas and NumPy for data manipulation.
• Solid SQL skills and experience working with structured and semi-structured data (JSON, CSV, Parquet, logs).
• Practical experience cleaning, normalizing, and sanitizing messy real-world data.
• Ability to parse multiple file formats and navigate complex filesystem/codebase layouts.
• Git fluency: reading commit history, diffs, and working with versioned repositories.
• Scripting ability to automate repetitive extraction and transformation tasks.
• Ability to document workflows and collaborate with cross-functional teams.
• May require eligibility to access export-controlled technology; non-U.S. applicants may be subject to export license review.

Nice-to-have:

• Exposure to data pipeline frameworks (Airflow, dbt, Spark).
• Basic familiarity with ML concepts (feature design, train/test leakage awareness).
• Curiosity for reverse-engineering undocumented data and discovering relationships across files.

Education Requirements

Advanced BSc student in Computer Science, Software Engineering, Electrical Engineering, Data Science, or a related technical field.

About the Company

Company: Marvell Technology

Headquarters: Santa Clara, California, United States

Marvell’s semiconductor solutions serve as essential building blocks of the data infrastructure connecting our world, driving innovation across enterprise, cloud, AI, and carrier architectures. The company focuses on creating transformative technology that shapes the future.