Manufacturing Product Engineering Lead for Yield & Quality

Analog Devices, Inc.; Cavite City; On-site; PHP 600,000 - 900,000; Full time

Job summary

Analog Devices, Inc. in Cavite, Philippines, is seeking a Supervisor, Product Engineering (Manufacturing) to lead a team of Product Engineers, support manufacturing operations, drive yield improvements, and ensure successful product introductions and sustainment in production.

You will collaborate with Operations, Test, Process, and Quality to meet manufacturing, quality, and cost objectives while guiding continuous improvement initiatives and data-driven problem solving.

Qualifications

• Minimum 5 years of experience in Product Engineering, Manufacturing Engineering, Test Engineering, or Semiconductor Operations.

Responsibilities

• Lead and develop the team of Product Engineers and technical staff.
• Drive yield and quality improvement through data analysis and root cause investigations.
• Support manufacturing operations and resolve production quality and yield issues.
• Collaborate with cross-functional teams for NPI, process changes, and transfers.
• Lead continuous improvement projects to boost efficiency and reliability.
• Communicate project updates and findings to management and stakeholders.

Skills

Analytical skills

Troubleshooting

Root cause analysis

Stakeholder management

Semiconductor Ops

Supervisory experience

Yield analysis

Statistical methods

Education

Bachelor's Degree in Electronics Engineering, Electrical Engineering, Chemical Engineering, Physics, Materials Science, or related field

Job description

Analog Devices, Inc. in Cavite, Philippines, is seeking a Supervisor, Product Engineering (Manufacturing) to lead a team of Product Engineers, support manufacturing operations, drive yield improvements, and ensure successful product introductions and sustainment in production.

You will collaborate with Operations, Test, Process, and Quality to meet manufacturing, quality, and cost objectives while guiding continuous improvement initiatives and data-driven problem solving.