Semiconductor Industry Applications Engineer

Cloud Software Group

Applications Engineer using visual data science for semiconductor manufacturing. Collaborating with teams to drive data analysis and technology solutions for industry challenges.

Posted 7/21/2026full-timeRemote • Arizona, California, Massachusetts, Texas, Washington • 🇺🇸 United StatesMid-LevelSenior💰 $154,479 - $231,719 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data management, analysis, and storytelling within the Semiconductor manufacturing industry, leveraging statistical modeling and analytical applications to deliver business value. Proficient in creating impactful collateral and presentations that engage prospective customers and address industry-specific challenges.

Highest-signal resume keywords

Data ManagementData AnalysisData StorytellingStatistical ModelingPython/R

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ManagementData AnalysisData StorytellingStatistical ModelingPythonRSAS JMPMinitabGraphPad PrismDataiku

Soft Skills

Presentation SkillsDocumentation SkillsCollaboration

Tools & Technologies

DataRobotStatistical ToolsAnalytical Applications

Industry Keywords

Semiconductor ManufacturingVisual Data ScienceBusiness ValueIndustry EventsProspective Customers

Tech Stack

Tools & technologies

PythonSpark

About the role

Key responsibilities & impact

Identify industry problems that are uniquely solved by visual data science
Document the required data, visualizations, and analytics to address those challenges
Build analytical applications that speed and streamline the problem solution workflow
Document best practice context and delivery of demos based on these materials
Enable our field to use these materials to spark interest among prospective customers
Present these solutions and the business value they represent at industry events
Create collateral to describe the business value and our unique capacity to deliver it

Requirements

What you’ll need

An engineering or science BS or greater degree related to our target industries
5 years experience as an analytics practitioner (engineer, scientist, researcher) in the Semiconductor manufacturing industry
Demonstrable data management, data analysis, and data storytelling skills
Experience with statistical modeling, including the use of Python/R and/or proprietary tools such as SAS JMP, Minitab, GraphPad Prism, Dataiku, DataRobot, etc.
Knowledge of specialist tools (vertical applications) commonly used in your industry
Conversational fluency in the data challenges of your industry and the business value that flows from solving them

Benefits

Comp & perks

access to healthcare
life insurance and disability benefits
401(k) plan and company match