Fleet Engineer

Jobtailor; Arizona; On-site; USD 90,000 - 130,000; Full time

Job summary

Jobtailor in the United States is seeking a data analytics professional to optimize semiconductor tool fleets through statistical analysis, data visualization, and robust Linux-based scripting. You will collaborate across teams to improve availability, throughput, and platform insights.

Ideal candidates have Python proficiency, experience with JMP/SQL, and a background in process control methods within semiconductor environments.

Qualifications

• Strong analytical and problem-solving skills for complex tool-related issues.
• Excellent attention to detail for accurate analysis and identification of excursions or outliers.
• Proficiency in programming languages such as Python.
• Proficiency in statistical analysis techniques and data visualization tools.
• Knowledge of semiconductor process control methodologies
• Ability to interpret, develop, and modify Shell and Python scripts
• Experience with semiconductor-industry analytical tools such as JMP and SQL
• Strong communication and influencing skills
• Ability to adapt quickly in a fast-paced, dynamic environment
• Up-to-date knowledge of semiconductor manufacturing processes, process control methodologies, and equipment technologies
• Demonstrated ability working in the semiconductor industry, including process control, lithography, or fab equipment management
• Familiarity with Linux and command-line operations
• Master's degree with 0 years of related work experience, or Bachelor's degree with 2 years of related work experience

Responsibilities

• Measure fleet performance and discover opportunities to optimize equipment availability and throughput
• Capture and document insights, analysis, actions, reasoning, and lessons learned
• Recommend analytical features and craft data science models for technology and process challenges at the local fab level
• Ensure semiconductor equipment fleets meet commitments for availability, throughput, and consistency
• Ensure data pipelines between process control tools and the analytical platform work as expected
• Conduct statistical analysis of tool data and component performance to identify trends, patterns, and potential issues
• Monitor tool behavior and data to identify excursions, anomalies, and deviations
• Collaborate with partners on root cause analysis
• Assess tool fleet availability and performance and measure throughput
• Ensure consistent tool performance and configurations across the fleet
• Engage internal and external partners, local teams, and customers in a dynamic matrix organization
• Assess feedback and recommend features to improve the analytical platform, tool performance, and user experience
• Stay current with process control tools and industry trends and propose innovative solutions
• Streamline feature requests using design for excellence principles
• Use Linux and command-line operations for tool configuration and data analysis

Skills

Python Programming

Statistical Analysis

Data Visualization

Shell Scripting

Linux Command Line

JMP

SQL

Semiconductor Process Control

Communication Skills

Problem Solving

Attention to Detail

Adaptability

Education

Master's or Bachelor's in Statistics / Computer Engineering / Electrical Engineering or related field

Tools

JMP

SQL

Process Control Tools

Analytical Platform

Data Pipelines

Job description

• Measure fleet performance and discover opportunities to optimize equipment availability and throughput
• Capture and document insights, analysis, actions, reasoning, and lessons learned
• Recommend analytical features and craft data science models for technology and process challenges at the local fab level
• Ensure semiconductor equipment fleets meet commitments for availability, throughput, and consistency
• Ensure data pipelines between process control tools and the analytical platform work as expected
• Conduct statistical analysis of tool data and component performance to identify trends, patterns, and potential issues
• Monitor tool behavior and data to identify excursions, anomalies, and deviations
• Collaborate with partners on root cause analysis
• Assess tool fleet availability and performance and measure throughput
• Ensure consistent tool performance and configurations across the fleet
• Engage internal and external partners, local teams, and customers in a dynamic matrix organization
• Assess feedback and recommend features to improve the analytical platform, tool performance, and user experience
• Stay current with process control tools and industry trends and propose innovative solutions
• Streamline feature requests using design for excellence principles
• Use Linux and command-line operations for tool configuration and data analysis

Requirements

• Strong analytical and problem-solving skills for complex tool-related issues
• Excellent attention to detail for accurate analysis and identification of excursions or outliers
• Proficiency in programming languages such as Python
• Proficiency in statistical analysis techniques and data visualization tools
• Knowledge of semiconductor process control methodologies
• Ability to interpret, develop, and modify Shell and Python scripts
• Experience with semiconductor-industry analytical tools such as JMP and SQL
• Strong communication and influencing skills
• Ability to adapt quickly in a fast-paced, dynamic environment
• Up-to-date knowledge of semiconductor manufacturing processes, process control methodologies, and equipment technologies
• Bachelor's or Master's degree in Statistics, Computer Engineering, Electrical Engineering, or a related field
• Demonstrated ability working in the semiconductor industry, including process control, lithography, or fab equipment management
• Familiarity with Linux and command-line operations
• Master's degree with 0 years of related work experience, or Bachelor's degree with 2 years of related work experience

Core Competencies

Demonstrates strong analytical skills and problem-solving capabilities in semiconductor equipment performance optimization, utilizing statistical analysis and data visualization tools. Proficient in programming with Python and Shell scripting, with a solid understanding of semiconductor process control methodologies and tools.

Highest-signal resume keywords

• Statistical Analysis Techniques
• Python Programming
• Semiconductor Process Control
• Data Visualization Tools
• Linux Command-Line Operations

ATS Optimization Keywords

Hard Skills

• Statistical Analysis
• Data Visualization
• Python Programming
• Shell Scripting
• Analytical Features Development
• Data Science Models
• Tool Performance Assessment
• Root Cause Analysis
• Performance Measurement
• Excursion Identification

Soft Skills

• Analytical Skills
• Problem-Solving
• Attention to Detail
• Communication Skills
• Adaptability

Industry Keywords

• Semiconductor Industry
• Equipment Availability
• Throughput Optimization
• Dynamic Matrix Organization
• Fab Equipment Management

Tools & Technologies

• JMP
• SQL
• Process Control Tools
• Analytical Platform
• Data Pipelines