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Applied Materials
Applied Materials
H1B Visa SponsorManufacturingSemiconductorTechnology
Applied Materials develops materials engineering solutions for semiconductor and advanced display manufacturing. Its technologies help produce chips and displays by enabling precise material modification at atomic scales and applying those capabilities in industrial production. The company also supports innovation through research, venture investment, and joint development programs, contributing to advances in technology manufacturing and more energy-efficient computing.
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Field Applications Engineer, New College Graduate

At Applied Materials, support semiconductor equipment applications by using AI, machine learning, and data science to diagnose customer problems. Develop and qualify recipes and technologies, run evaluations and demonstrations, and collaborate with customer-facing and product teams.

USUnited StatesAZArizonaCACalifornia
$86,500 – $119,000 / year
On-siteFull-timeMiddleSeniorEnglish RequiredField Engineer

Description

  • Investigate customer-site problems and needs, then carry solutions through implementation.
  • Develop recipes to improve system performance and train PSEs and AEs to create them.
  • Qualify new technologies and features through beta deployments, evaluations, and customer demonstrations.
  • Take part in customer demonstration activities.
  • Identify solutions and track their implementation.
  • Develop methods to optimize system performance for specific applications.
  • Assess new application capabilities from the product division and transfer them to the customer application support team.
  • Join technical review meetings with customers.
  • Develop and improve AI, machine learning, and data science methods to diagnose advanced equipment issues and high-value customer problems.
  • Work across teams to address customer challenges and build trust and successful outcomes.

Requirements

  • Master’s or PhD in mechanical engineering, electrical engineering, chemical engineering, physics, statistics, AI/ML, or a related field.
  • Semiconductor or display R&D experience and relevant coursework are preferred.
  • A GPA of 3.0 or higher is preferred.
  • Willingness to travel 10% of the time.
  • New college graduate.
  • Ability to work with AI/ML and software developers, as well as semiconductor or display equipment and device process and integration engineers.

Benefits

  • Supportive culture that encourages learning, development, and career growth.
  • Health and wellbeing programs and support.
  • Comprehensive benefits package.
  • Bonus eligibility, where applicable.
  • Participation in a stock award program, where applicable.
  • Relocation eligibility.

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