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Computer Aided Engineer

3.00 to 7.00 Years   Bangalore   06 May, 2021
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryEngineering / Construction
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

Key ResponsibilitiesWorks on difficult CAE problems to assist product developmentWorks on identifying product design and development problems where CAE analysis can accelerate developmentProactively validates/correlates results with real world data and makes model improvements as deemed necessaryVery good understanding of business unit processes and hardware; good knowledge of data analysis techniques to summarize CAE dataGenerates high-level engineering test reports and presents CAE results/conclusions to the design/process engineering communityApplied Materials is the leader in materials engineering solutions 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. Our innovations make possible the technology shaping the future. To achieve this, we employ some of the best, brightest, and most talented people in the world who work together as part of a winning team.While virtually every nationality, culture, and background are currently represented within Applied Materials, we strive for a more robust Culture of Inclusion (COI) and diversity. Leveraging our COI vision helps drive innovation, build organizational capabilities, create equal opportunities for everyone, and achieve our company s Definition of Winning.Applied Materials is looking to recruit an outstanding engineer to support its computational modeling group specializing in the creation of reduced order models of chambers. In this role, you will develop and use state-of-the-art machine learning and statistics tools to create fast reduced order models of Applied Materials products. You will work closely with design and process engineers to enhance existing products as well as play a key role in the development of next-generation chambers and processes.Required Qualifications

  • PhD (or MS 3 years experience) in Computer Science/Engineering, specializing in machine learning and statistical methods.
  • Experience with
    • developing or using reduced order models of physical systems
    • developing or using commercial/open-source machine learning frameworks
    • statistical analysis software such as JMP, Minitab, etc.
    • structured experimentation
    • programming (Matlab, Python, C/C )
    • proficient in at least one of the following physics areas: fluid physics, thermal analysis, plasma physics, or electromagnetics
  • A technical mindset with great attention to detail
  • Excellent written and verbal communication skills
QualificationsEducation:Doctorate Degree: Computer Science SkillsCertifications:Languages:Years of Experience:4 - 7 Years Work Experience:Additional InformationTravel:Yes, 10% of the Time Relocation Eligible:YesApplied Materials is committed to diversity in its workforce including Equal Employment Opportunity for Minorities, Females, Protected Veterans and Individuals with Disabilities.,

Keyskills :
equal employment opportunitydata analysisproduct designplasma physicscomputer sciencemachine learningthermal analysisleadership skillscommercial modelsequal opportunitiesverbal communication

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