Process Support Engineer II — On‑Site, Dallas

Applied Materials, Inc.; Dallas, Northern (TX, KY); Hybrid; USD 87,000 - 119,000; Full time

Benefits offered by this job

Comprehensive benefits

Bonus potential

Stock awards

Job summary

Applied Materials in Dallas, TX is seeking a skilled Process Support Engineer to guide products from concept through qualification and to provide high-visibility customer support via on-site installations, system diagnoses, and repair of complex equipment used to manufacture advanced semiconductor chips.

You will work with customers and R&D teams to develop leading-edge processes and perform hypothesis-driven experiments.

Qualifications

• Minimum 5 years in Semiconductor Capital Equipment or similar high-tech industry.
• Preferred experience 3+ years’ experience 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.

Skills

Semiconductor Capital Equipment

Process Engineering

Applications Engineering

Education

Bachelor's Degree in STEM

Job description

Applied Materials in Dallas, TX is seeking a skilled Process Support Engineer to guide products from concept through qualification and to provide high-visibility customer support via on-site installations, system diagnoses, and repair of complex equipment used to manufacture advanced semiconductor chips.

You will work with customers and R&D teams to develop leading-edge processes and perform hypothesis-driven experiments.