SiPh Package Reliability Engineer: Optical Packaging Expert

GlobalFoundries inc.; Town of Malta (NY); On-site; USD 58,000 - 146,000; Full time

Job summary

GlobalFoundries is seeking a Package Reliability Engineer to support reliability methodology development and qualification for silicon photonics products and advanced optical packages. The role spans chip-to-package interfaces, adhesive and underfill performance, and electrical/thermal/mechanical reliability across assembly and testing stages.

Responsibilities include planning qualification programs, applying physics-of-failure models, and driving data-driven decisions with cross-functional

Qualifications

• Bachelor's degree in a relevant engineering/physical science field.
• Experience in reliability qualification, methodology development, or failure-mechanism investigations.
• Strong understanding of reliability physics and accelerated testing for semiconductor devices.

Responsibilities

• Define qualification requirements and test plans based on mission profile and customer use conditions.
• Plan and execute package reliability evaluations including temperature cycling and humidity tests.
• Correlate multimodal data to identify degradation drivers and lifetime-limiting mechanisms.
• Support failure analysis with cross-functional teams and verify corrective actions.

Skills

Reliability physics

Statistical analysis

Cross-functional collaboration

English communication

Education

Bachelor's degree in Photonics/Electrical/Mechanical/Materials Science/Applied Physics

7+ years experience or 5+ years with MS or PhD in related field

Tools

JMP

Minitab

Python

MATLAB

Job description

GlobalFoundries is seeking a Package Reliability Engineer to support reliability methodology development and qualification for silicon photonics products and advanced optical packages. The role spans chip-to-package interfaces, adhesive and underfill performance, and electrical/thermal/mechanical reliability across assembly and testing stages.

Responsibilities include planning qualification programs, applying physics-of-failure models, and driving data-driven decisions with cross-functional