1 day ago
Hsinchu, TaiwanEntry Level / Mid Level
Responsibilities
- Design, build, and maintain SQL- and Python-based data pipelines and APIs for wafer-, die-, and bin-level test data.
- Collaborate on data schema design and implement data quality checks for platform scalability.
- Improve query and pipeline performance on large production tables through indexing, query design, and caching.
- Perform before-and-after comparisons and regression checks to validate platform changes.
- Automate input and output quality checks, recurring data processing, validation, and reporting.
- Document data flows, design decisions, and known issues.
- Work with yield, diagnostics, and design engineers across Taiwan, the US, and India to translate requirements into practical tools.
- Ramp up on existing platforms, team processes, and 3DIC domain context.
Requirements
- Bachelor’s degree in Science, Engineering, or a related field with 2+ years of relevant experience, or a master’s degree in Engineering, Computer Science, Information Management, Data Science, or a related field with 0–2 years of relevant experience.
- Hands-on SQL experience, including joins, aggregation, and indexing; PostgreSQL is preferred.
- Python experience, including pandas or an equivalent library.
- Experience building or maintaining a data pipeline, data application, or analytics workflow.
- Industry-level data analytics experience applied to engineering or manufacturing problems.
- Experience applying data analytics or statistical methods to identify issues, improve processes, or support technical decision-making.
- Exposure to semiconductor manufacturing, yield analysis, quality engineering, or 3DIC topics through coursework, projects, or work experience.
- Familiarity with data visualization, frontend data integration, or building data applications.
- Knowledge of 3DIC concepts such as wafer stacking, hybrid bonding, TSV, stack genealogy, or 3DIC reliability is preferred.
- Strong problem-solving, communication, collaboration, and ability to learn new domains quickly.
Tech Stack
Categories
Data Engineering
About Qualcomm
Qualcomm is a public semiconductor company headquartered in San Diego, founded in 1985, that designs and sells wireless chipsets and platforms for mobile devices, automotive, IoT, and networking, notably the Snapdragon application processors and 5G modems. It also licenses a large portfolio of cellular patents to device makers, generating revenue alongside chip sales; its technology underpins many Android smartphones and emerging automotive and edge-compute systems, and it trades on NASDAQ as QCOM.