• United States Of America, Usa
  • Save Job
  • 5 - 8 Years
  • Posted : above 1 month

Job Description:

Are you inspired by how data analytics can be used to diagnose, improve and add value to hardware Are you a natural team player who loves to solve complex problems If yes, then youll fit right in here at Applied Materials

We are a fast-growing team of doers who are bringing domain knowledge-aided data analytics to our semiconductor equipment We are working passionately to transform our customers experiences in ground-breaking ways new to this industry We will give you the guidance, tools and support you need on this journey with us that is rewarding, fulfilling and fun!

Position Overview

We are seeking a talented individual with general expertise and demonstrated achievement in hardware analytics, systems engineering and data science You will be a member of the Analytics Team that is responsible for developing data-driven analytics solutions to optimize semiconductor manufacturing Your work will involve developing tools to collect, analyze, and visualize diverse data sets to address a variety of high value engineering issues These tools will then be used to enhance hardware performance for both internal and external customers

The ideal candidate should be comfortable working cross-functionally as well as delivering results independently The position requires willingness to learn new technologies, solving complex problems, identifying innovative solutions and troubleshooting

Job Responsibilities

Develop and implement analytics-driven optimization through deployment of software and/or algorithms
Serve as a technical lead for highly cross-functional internal R&D initiatives
Drive product enhancements with both classical engineering and data science techniques
Champion new ML/AI based optimization techniques across the organization
Fine tune application performance, troubleshoot and resolve data processing issues
Provide end-to-end solution for a given problem and effectively communicate solutions to the team
Thrive in a dynamic, multi-team fast-paced, rapid development, startup-like environment as well as work independently

Minimum Qualifications

5 years of demonstrated achievement with hardware-oriented analytics
Hardware or process engineering experience in semiconductor manufacturing or similar field
Degree in quantitative field (eg Computer Science, Engineering, Statistics, Chemical Engineering, Mechanical Engineering, Electrical Engineering)
Understanding of physical systems (eg signals processing, sensors, semiconductors, manufacturing, microfluidics)
Experience with machine learning or other statistical data analysis techniques, such as regression, time series analysis, hypothesis testing, classification, or clustering
Experience performing data extraction, cleaning, analysis, and visualization for medium to large datasets
Experience with at least one programming language (Python, R, Java, etc) and writing SQL queries

Experience with scientific computing packages such as scikit-learn, numpy, SciPy, pandas, dplyr, or ggplot2

Qualifications

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Profile Summary:

Employment Type : Full Time
Eligibility : Any Graduate
Industry : Telecom, IT-Hardware/Networking
Functional Area : IT Software : Software Products & Services
Role : Software Engineer
Salary : As per Industry Standards
Deadline : 19th Jul 2020

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