11- DFT, Test strategy and Data analytics

Celestica • San Jose, CA

6d • Onsite

About The Position

We are seeking a forward-thinking Technical Project Manager to spearhead transformative initiatives within our Test Engineering organization. In this cross-functional leadership role, you will be the driving force behind implementing new test processes and bridging the gap between Hardware Design, Software/Diagnostics, and Manufacturing Test teams. You will lead the strategy, process definition, and execution—including integrating AI in test, deploying adaptive testing methodologies and driving advanced test data analytics.

Requirements

• Proven track record of defining and implementing manufacturing test processes, particularly MTRS flows and test strategy documentation.
• Strong understanding of Design for Testability (DFT), Boundary Scan diagnostics, and how to drive these requirements into early hardware design phases.
• Experience implementing or managing Test Data Analytics platforms and a solid grasp of statistical quality metrics (Cpk, GR&R, SPC).
• Familiarity with modern test innovations, including AI applications in manufacturing and adaptive/dynamic testing methodologies.
• 7+ years of experience in test engineering, DFT, or hardware manufacturing, with at least 3 years successfully managing complex technical projects or leading cross-functional teams.
• Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, or a related technical field.

Nice To Haves

• PMP, Agile, or related project management certification is a strong plus.

Responsibilities

• Lead the development, standardization, and rollout of new processes in the manufacturing test area to improve operational efficiency, minimize cycle times, and maximize product yield.
• Champion and drive the optimization of boundary scan (JTAG/IEEE 1149.x) strategies directly into hardware design workflows, ensuring optimal physical access and high structural test coverage from the initial design stages.
• Define, govern, and optimize the end-to-end flows for Manufacturing Test Requirement Specifications (MTRS). Ensure seamless collaboration and clear deliverables between product design, diagnostics software, and factory test teams.
• Spearhead the introduction of Artificial Intelligence (AI) and machine learning within the test ecosystem. Oversee the deployment of adaptive testing frameworks that dynamically adjust test sequences and limits based on real-time factory data.
• Lead the adoption and integration of advanced test data analytics platforms. Leverage metrics such as Cpk, Gauge R&R, and SPC to drive predictive yield modeling, reduce false failures, and inform strategic engineering decisions.
• Act as the central project manager linking Hardware Design, Software, and Manufacturing Test Development. Drive schedules, manage risks, and ensure diagnostic capabilities are designed with manufacturing efficiency in mind.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior