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Field Applications Engineer – New College Grad, Master's/PhD
Applied Materials. Identify complex problems and needs at customer sites and work through the full cycle to implement solutions .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI/ML and data science methodologies to enhance system performance and solve complex customer challenges. Capable of collaborating with cross-functional teams and effectively communicating technical solutions to optimize customer success.
Highest-signal resume keywords
AI/ML MethodologiesData Science ApproachesSemiconductor/Display R&D ExperienceRecipe Creation OptimizationTechnical Review Participation
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Mechanical EngineeringElectrical EngineeringChemical EngineeringPhysicsStatisticsProblem SolvingSystem Performance OptimizationCustomer DemonstrationsMethodology CreationTechnical Analysis
Soft Skills
CollaborationCommunicationCustomer Trust Building
Industry Keywords
SemiconductorDisplay TechnologyR&DCustomer SupportIntegration Engineering
About the role
Key responsibilities & impact- Identify complex problems and needs at customer sites and work through the full cycle to implement solutions
- Lead recipe creation to optimize system performance and train PSEs/AEs in recipe creation
- Qualify new technologies and features, execute beta sites, evaluations, and customer demonstrations
- Participate in customer demo activities
- Find solutions and follow up on solution execution
- Create methodologies to optimize system performance for specific applications
- Analyze and transfer new application capabilities from the product division to the customer application support team
- Participate in customer technical review meetings
- Design, develop, and improve AI/ML and data science approaches to diagnose leading-edge equipment and high-value customer problems
- Collaborate across multiple organizations to solve customer challenges and increase customer trust and success
Requirements
What you’ll need- Master’s or PhD in Mechanical Engineering, Electrical Engineering, Chemical Engineering, Physics, Statistics, AI/ML, or related fields
- Semiconductor/display R&D experience and coursework preferred
- GPA of 3.0 or above preferred
- Willingness to travel 10% of the time
- New college graduate
- Ability to work with AI/ML/software developers and semiconductor/display equipment and device process and integration engineers
Benefits
Comp & perks- Supportive work culture encouraging learning, development, and career growth
- Health and wellbeing programs and support
- Comprehensive benefits package
- Bonus eligibility, as applicable
- Stock award program participation, as applicable
- Relocation eligible