Company Name:-
Applied Materials Inc.

Job Location:-
Bengaluru, Karnataka

Job Summary:-
Key Responsibilities
Works on difficult CAE problems to assist product development
Works on identifying product design and development problems where CAE analysis can accelerate development
Proactively validates/correlates results with real world data and makes model improvements as deemed necessary
Very good understanding of business unit processes and hardware; good knowledge of data analysis techniques to summarize CAE data
Generates high-level engineering test reports and presents CAE results/conclusions to the design/process engineering community
Applied 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, Min

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