Staff Engineer, Test Manufacturing - AI-Driven Test & Data

Celestica Inc.; Austin (TX); Presencial; USD 123.000 - 191.000; Jornada completa

Descripción de la vacante

Celestica, Inc. in Austin is seeking a Staff Engineer, Test Manufacturing-DFT, Test strategy and Data analytics to lead transformative initiatives across Hardware Design, Software/Diagnostics, and Manufacturing Test teams. You will shape strategy, define processes, and drive execution of advanced test programs.

The role emphasizes boundary scan optimization, MTRS leadership, and AI-driven adaptive testing. You will leverage test data analytics to enhance yield, reduce false failures, and guide

Formación

• 7+ years of experience in test engineering, DFT, or hardware manufacturing.
• Experience leading cross-functional teams and delivering complex technical projects.
• Strong knowledge of DFT, boundary scan, and test data analytics.

Responsabilidades

• Lead development, standardization, and rollout of new manufacturing test processes to improve efficiency, cycle times, and yield.
• Champion and drive boundary scan strategies in hardware design workflows for high test coverage from design inception.
• Define, govern, and optimize end-to-end Manufacturing Test Requirement Specifications (MTRS) with clear deliverables across design, software, and factory test teams.

Conocimientos

Test engineering

DFT

Boundary Scan

Project management

Educación

Bachelor's or Master's in Electrical or Computer Engineering

PMP / Agile certification is a strong plus

Herramientas

JTAG boundary scan

Descripción del empleo

Celestica, Inc. in Austin is seeking a Staff Engineer, Test Manufacturing-DFT, Test strategy and Data analytics to lead transformative initiatives across Hardware Design, Software/Diagnostics, and Manufacturing Test teams. You will shape strategy, define processes, and drive execution of advanced test programs.

The role emphasizes boundary scan optimization, MTRS leadership, and AI-driven adaptive testing. You will leverage test data analytics to enhance yield, reduce false failures, and guide