Packaging Module Process Development Engineer
Intel · Phoenix, AZ
About this role
Intel is hiring a mid-level Hardware Engineer in the software engineering function based in Phoenix, AZ. The posting calls out experience with Data Analytics. Compensation is listed at $133,800–$188,890 per year.
- Role
- Hardware Engineer
- Function
- software engineering
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Phoenix, AZ
- Posted
- May 19, 2026
More roles at Intel
Job description
from Intel careersJob Description:
In this position, you will be responsible for advancing packaging process development through the following responsibilities:
• Develops assembly processes and applies novel concepts for innovative solutions to enable Intel's roadmap of future assembly packaging platform technologies.
• Optimizes and improves the efficiency of manufacturing of packages, developing processes to meet quality, reliability, cost, yield, productivity, and manufacturability requirements.
• Develops process and equipment specifications applying principles for design of experiments and data analysis, and documents improvements through white papers.
• Ensures manufacturability of physical layout of package design and oversees the cycle of manufactured package processes, procedures, and flows.
• Establishes material specifications for contract assemblers and raw material vendors and interfaces with supplier quality and procurement teams to ensure material quality and vendor performance requirements are met through strict adherence to process specifications and existing product qualification methods.
• Develops new techniques and acceleration methods, tools, and quality screens to ensure the early identification of potential problems with packaging quality and reliability.
• Sets reliability requirements to meet customer needs and influences design, material selection and process development to meet those needs, based on fundamental understanding of failure mechanisms.
• Leads efforts towards innovating, problem solving, developing, and continuously improving equipment and processes using experimental design and statistical methods.