Applied Materials

Applied Materials is the leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. Our expertise in modifying materials at atomic levels and on an industrial scale enables customers to transform possibilities into reality. At Applied Materials, our innovations Make Possible a Better Future.

Job Title:

Application Engineer II

Last Date To Apply:

Not Specified

(Apply Link at the end)

ASAP, will end as soon as a certain number is reached

Experience Level:

Candidate Should have 0 – 2 years of experience

Job Location:

Bangalore , India

Salary:

Not Specified

Eligible Batches:

Not Specified

Requirements:

• Support customer & field issues driving adoption of developed tools/features Requirements: • Qualification: Master/Integrated Dual Degree/PhD scholars from premier academic institutions with 0-2 years’ experience, specialization in Microelectronics/Chemical Engineering/Engineering Physics/Mechatronics • Sound fundamentals of semiconductor device physics and process knowledge (deposition, etching, etc.) • Requires 70% travel on short notice to leading semiconductor chip manufacturing fabs overseas and Applied Materials headquarters
• 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. • Good programming skills and hands on experience in Python. ML/DL knowledge will be an advantage • Basic 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

Job Description:

• Develop new sensors and/or new capabilities in existing sensors • Understand and translate market requirement to product spec • Work with algorithm, system, software and other cross functional teams to analyze alternative solutions and provide data for decision making • Tool performance and limitation analysis