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Success Starts Here

As a leading global supplier of wafer fabrication equipment and services to the semiconductor industry, Lam Research develops innovative solutions that help our customers build smaller, faster, and more power-efficient devices.

This success is the result of our employees' diverse technical and business expertise, which fuels close collaboration and ongoing innovation.

Join the Lam Research team, where you can write your own success story. Come help us solve our customers' toughest problems and be part of a company that plays a vital role in the future of electronics.

Lam Research - a company where successful people want to work.

Software Engineer, Sr. I

Date: Apr 5, 2019

Location: Bangalore, KA, IN, 560071

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POSITION:  RShiny Developer

 

Req No.:

 

Eligibility Criteria:

 

  • Years of Experience: 5+ years UI/UX development. 3+ years in R Shiny development

 

  • Educational Qualification: Bachelor’s degree in Engineering, Comp Science

 

Primary Responsibilities:

  • We are looking for a R Shiny Developer who will participate in designing, developing, testing and releasing UI/UX solutions for Lam Advanced Services products (data analytics) for semiconductor equipment used in a manufacturing environment.
  • Responsibilities include UI/UX design and engineering for data ingestion, visualization and analysis on large volume data streams and around complex machine learning and AI flows.

 

 

Mandatory Skills:

  • Experience in building, deploying and writing unit tests for web-based products (not just dashboards) based on R Shiny
  • Experience in building performant, scalable frameworks in R Shiny / demonstrated ability to optimize UI/UX and select appropriate visualization techniques for large datasets where UI responsiveness (time to load and visualize data) is a key UX requirement
  • Experience interfacing R Shiny with external APIs, databases and other programming languages (e.g. Python)
  • Excellent ability to quickly convert engineering requirements into mockups and prototypes
  • Strong knowledge of data architecture and data-warehousing concepts
  • Strong UNIX experience
  • Ability to work independently or as part of a team and follow through on assignments with minimal supervision, working in a demanding environment with changing workloads
  • Familiarity with source control and software management tools
  • Strong analytical, problem solving and troubleshooting skills
  • Excellent verbal and written communication skills

     

Desirable Skills:

  • Exposure to Redmine, maven, Subversion (SVN), Confluence, git, Jira SW management tools
  • Experience in Hadoop environment
  • Experience with Angular
  • Experience working on project centred around Machine learning and AI
  • Experience in the semiconductor equipment manufacturing industry
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