NPI Integration / Product RF Engineer

Broadcom; George Town; On-site; MYR 60,000 - 80,000; Full time

Job summary

Broadcom is seeking a professional for the role of RF Product Engineering Support in George Town, Penang, Malaysia. The successful candidate will support and lead RF semiconductor product engineering activities throughout various stages from NPI to production.

Responsibilities include analyzing electrical test data, developing AI-driven solutions, and enhancing operational efficiency through automation tools. Candidates with experience in RF product engineering and AI technologies are encouraged to apply.

Qualifications

• Experience in RF semiconductor product engineering activities.
• Strong analytical skills for test data and yield performance.
• Familiarity with AI-driven solutions and automation tools.

Responsibilities

• Support and lead RF semiconductor product engineering activities.
• Analyze electrical test data, yield performance, and reliability results.
• Develop AI-driven solutions to improve engineering productivity.

Skills

RF semiconductor product engineering

Data analysis

AI technologies

Automation tools development

Job description

RF Product Engineering Support

• Support & Lead RF semiconductor product engineering activities throughout NPI to production stages
• Analyze electrical test data, yield performance, pareto trends, and reliability results
• Support failure analysis, debug activities, and engineering investigations
• Work closely with test engineering, wafer fab, assembly, and reliability teams
• Monitor product health and manufacturing performance
• Support engineering qualification and production ramp activities
• Participate in customer issue investigation and resolution activities

Automation Responsibilities

• Develop AI-driven solutions to improve engineering productivity and operational efficiency
• Build automation tools for engineering data analysis, reporting, and workflow optimization
• Develop predictive analytics models for yield improvement, excursion detection, or capacity planning
• Utilize AI technologies for defect pattern analysis and intelligent data visualization
• Develop internal AI chatbot or knowledge assistant systems for engineering teams
• Integrate AI solutions with existing databases, dashboards, and engineering systems

R026218