NPI Integration / Product RF Engineer

Job Title

NPI Integration / Product RF Engineer

Role Summary

Support and lead RF semiconductor product engineering from new product introduction (NPI) through production ramp, focusing on product test, yield, reliability, and cross-functional manufacturing support. Work with test engineering, wafer fab, assembly, and reliability teams to maintain product health and resolve customer issues.

Experience Level

Mid-level (typical engineer role; explicit seniority not stated).

Responsibilities

Primary duties include technical support for product ramps, data analysis, failure investigations, and building automation to improve engineering productivity.

• Lead and support RF product engineering activities across NPI to production stages.
• Analyze electrical test data, yield performance, pareto trends, and reliability results.
• Support failure analysis, debug activities, and engineering investigations.
• Collaborate with test engineering, wafer fab, assembly, and reliability teams to resolve issues.
• Monitor product health and manufacturing performance; support production ramp and qualification.
• Participate in customer issue investigations and provide resolution support.
• Develop automation tools for engineering data analysis, reporting, and workflow optimization.
• Build predictive analytics models for yield improvement, excursion detection, or capacity planning.
• Use AI/ML techniques for defect pattern analysis, intelligent visualization, and internal knowledge assistants.
• Integrate AI and automation solutions with existing databases, dashboards, and engineering systems.

Requirements

Source lists responsibilities but not a formal requirements section. The following are concise inferred expectations based on the role description.

• Must-have: Experience in RF or semiconductor product engineering/NPI; hands-on experience with test data analysis, yield analysis, and failure/debug workflows.
• Must-have: Familiarity collaborating with test engineering, wafer fab, assembly, and reliability teams in a manufacturing environment.
• Must-have: Practical scripting or programming skills for automation and data analysis (e.g., Python, SQL) and experience working with engineering databases or dashboards.
• Nice-to-have: Experience applying machine learning or predictive analytics to yield, defect analysis, or capacity planning.
• Nice-to-have: Experience building internal tooling, chatbots, or AI-driven knowledge assistants for engineering teams.

Education Requirements

Not specified.

About the Company

Company: Broadcom

Headquarters: Irvine, California, United States

Broadcom is a global technology leader that designs, develops, and supplies a wide range of semiconductor and infrastructure software solutions. The company is known for its innovations in wireless and broadband communications, enabling a connected world.