Interface with customers on technical requirements
Applied Materials Inc is seeking a Process Support Engineer IV in Santa Clara, CA, to lead product application roadmaps and optimize system performance for advanced semiconductor and display technologies. The ideal candidate will have strong technical expertise, problem-solving abilities, and interpersonal skills, and will contribute to innovative solutions in a supportive work culture.
###
Job Summary
The role involves technically leading difficult, complex application activities and creating execution teams for beta-sites and demos at customer sites.
Candidates will interface with customers regarding technical requirements analysis, define support plans, and lead new methodologies to optimize system performance.
Applied Materials offers a supportive work culture encouraging learning and growth, along with a salary range of $147,000.00 to $202,500.00.
Matching Summary
Match Score: 85
Applied Materials Inc is seeking a Process Support Engineer IV in Santa Clara, CA, to lead product application roadmaps and optimize system performance for advanced semiconductor and display technologies. The ideal candidate will have strong technical expertise, problem-solving abilities, and interpersonal skills, and will contribute to innovative solutions in a supportive work culture.
###
Salary
Base: $147,000.00 - $202,500.00; Bonus/Equity: Eligible for bonus and stock award program; Benefits: Comprehensive benefits package including health and wellbeing programs
Skills & Requirements
Must-have
Lead complex application activities
Execute beta-sites and evaluations
Interface with customers on technical requirements
Define product application support plans
Optimize system performance methodologies
Nice-to-have
Deep expertise in specialized discipline
Ability to negotiate different viewpoints
Experience leading functional teams
Innovative problem-solving skills
Supportive work culture fit
Key Requirements
Depth or breadth of expertise in specialized discipline
Ability to lead functional teams with moderate complexity