Senior Process Support Engineer – Semiconductor Equipment

Applied Materials, Inc.; Phoenix (AZ); On-site; USD 108,000 - 149,000; Full time

Job summary

Applied Materials seeks a Process Support Engineer to guide products through lifecycle stages, from concept to qualification, delivering high‑visibility customer support via on‑site installations, diagnostics, and service of complex systems.

You'll work with customers and R&D teams on leading-edge processes for semiconductor chip manufacturing, perform data analysis, and generate reports with actionable conclusions. Travel and collaboration across global teams are essential.

Qualifications

• Minimum 5 years in Semiconductor Capital Equipment or similar high-tech industry.
• Preferred experience 3+ years in Applications or Process Engineering, Bachelor’s Degree in STEM field.

Responsibilities

• Serves as liaison between the customer and the Business Unit for assigned projects, ensuring clear understanding of customer issues and delivery of applicable solutions.
• When necessary, works closely with customer to optimize tool performance to meet customer process and integration requirements.
• Checks and approves operational quality of system equipment.
• Instructs customers in the operation and maintenance of the system.
• Provides highly visible customer support through the performance of on-site installation, as well as overseeing any necessary diagnoses, troubleshooting, service, and repair of complex equipment and systems.
• Knowledge of 3 or more processes on 1 or more technologies.

Skills

Semiconductor equipment experience

Process engineering knowledge

Customer support

Education

Bachelor’s Degree in STEM fields

Job description

Applied Materials seeks a Process Support Engineer to guide products through lifecycle stages, from concept to qualification, delivering high‑visibility customer support via on‑site installations, diagnostics, and service of complex systems.

You'll work with customers and R&D teams on leading-edge processes for semiconductor chip manufacturing, perform data analysis, and generate reports with actionable conclusions. Travel and collaboration across global teams are essential.