AI Infrastructure Engineer Intern
Core
Building data infrastructure for AI research by collecting, cleaning, and normalizing large-scale chip design datasets.
Role type
Data Preprocessing Engineer (Intern)
Builds
Model-ready datasets for AI research in semiconductor chip design
Domain
Semiconductor / AI Research
Deliverable
production ML models
Required skills
Python (pandas, NumPy), SQL, data cleaning and normalization, file parsing (JSON, CSV, Parquet, logs), Git, scripting for automation
Preferred skills
Data pipeline tools (Airflow, dbt, Spark), basic ML concepts (feature engineering, train/test leakage)
Technologies
Python, pandas, NumPy, SQL, Git, Airflow, dbt, Spark, JSON, CSV, Parquet
Responsibilities
Collect and sanitize large-scale chip design datasets from diverse sources; Build and maintain scripts to automate data extraction and transformation; Parse and process various file formats; Navigate complex codebases to locate and extract relevant data; Collaborate with researchers to deliver model-ready datasets; Document data sources, transformation logic, and dataset versions
Seniority
Intern (Advanced BSc student)
