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Application Engineer at Applied Materials

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

13 Mar, 26

Salary

0.0

Posted On

13 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Application Engineering, Algorithm Analysis, System Optimization, Customer Support, Semiconductor Device Physics, Process Knowledge, Analytical Skills, Problem Solving, Communication Skills, Cross-Functional Collaboration, Documentation Skills, Presentation Skills, Metrology Process, Programming Skills, Python, Machine Learning, Deep Learning

Industry

Semiconductor Manufacturing

Description

Understand and translate market requirement to product specifications. Work with algorithm, system, software and other cross functional teams to analyze alternative solutions and provide data for decision making. Tool performance with gap/limitation analysis to create new methodologies in order to optimize system performance for specific application. Support customer & field issues driving demos and adoption of developed tools/features. Master/Integrated Dual Degree/PhD scholars from premier academic institutions with 2-4 years' experience, specialization in Materials Engineering/Microelectronics/Chemical Engineering/Engineering Physics/Mechatronics Sound fundamentals of semiconductor device physics and process knowledge (deposition, etching, etc.) Detail oriented, with strong analytical skill, problem solving and excellent communication skills, strive to get to the deep technical details Collaborate with cross-functional teams, strong documentation and presentation skill. Familiarity of working in a semiconductor fab and experience in interfacing with field support engineers is highly desirable. Understanding of Metrology process and requirements in IC manufacturing is highly desirable. Good programming skills and hands on experience in Python. ML/DL knowledge will be an advantage.

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Responsibilities

Understand and translate market requirements into product specifications while collaborating with cross-functional teams. Analyze alternative solutions and provide data for decision-making to optimize system performance.