Senior PVD & Thin-Films Equipment Engineer: Optimize Uptime

Analog Devices, Inc.; Camas (WA); Hybrid; USD 96,000 - 131,000; Full time

Benefits offered by this job

Medical, vision and dental coverage

401k

Paid vacation

Holidays

Sick time

Paid holidays

Paid vacation starting at 136 hours

Paid sick time above state minimum

Job summary

Analog Devices, Inc. seeks a Senior Equipment Engineer to own PVD/Thin Film manufacturing equipment in a high-volume semiconductor environment.

You will drive uptime, yield, and factory productivity while collaborating with Manufacturing, Process Engineering, Maintenance, and Facilities teams. The role requires hands-on equipment troubleshooting and data-driven problem solving, with experience in SPC/FDC and Lean manufacturing principles.

Qualifications

• Bachelor's degree in Engineering or related technical field required.
• Experience with semiconductor manufacturing equipment engineering or field service.
• Strong knowledge of wafer fabrication processes and associated operations.
• Hands-on troubleshooting and maintenance of manufacturing equipment.
• Experience with PVD/Thin Film, Diffusion, Wet Process equipment preferred.

Responsibilities

• Own and support PVD/Thin Film manufacturing equipment, lead installation and startup of new tools.
• Drive improvements in equipment utilization, uptime, and OEE; reduce process variation and scrap.
• Develop equipment specs, qualification plans, and process control methods; mentor technicians and engineers.

Skills

Statistical Process Control (SPC)

Fault Detection and Classification (F‑

Education

Bachelor's degree in Engineering

Tools

Applied Materials

Novellus

Job description

Analog Devices, Inc. seeks a Senior Equipment Engineer to own PVD/Thin Film manufacturing equipment in a high-volume semiconductor environment.

You will drive uptime, yield, and factory productivity while collaborating with Manufacturing, Process Engineering, Maintenance, and Facilities teams. The role requires hands-on equipment troubleshooting and data-driven problem solving, with experience in SPC/FDC and Lean manufacturing principles.