Defect equipment Systems Engineer

Intel; Leixlip; On-site; EUR 59,200 - 111,300; Full time

Job summary

Intel in Leixlip, Ireland is seeking an automation software engineer to enhance defect metrology and semiconductor manufacturing systems. You will design scalable automation tools and contribute to data analytics and CI/CD deployment.

You will collaborate with cross-functional teams to troubleshoot complex issues, develop Python-based solutions, and write SQL queries to extract and analyze production data. The role emphasizes autonomous ownership, cloud development, and continuous improvement to

Qualifications

• Level 8 degree in a Science or Engineering discipline.
• 4+ years in engineering, automation, or software-enabled manufacturing.
• Hands-on troubleshooting of complex systems.
• Practical experience with Python for automation.
• Strong SQL for data extraction and analysis.
• Experience with data analysis/visualization tools (JMP, Python libraries).
• Familiarity with cloud-based development/deployment.
• Experience using GitHub for version control and CI/CD workflows.

Responsibilities

• Design, develop, and maintain automation solutions for monitoring and process improvement.
• Develop scalable software tools and scripts using Python to automate data workflows.
• Write and optimize SQL queries to access and analyze manufacturing data.
• Support cloud-based development and deployment for automation/analytics.
• Implement and maintain CI/CD pipelines in GitHub to improve quality and deployment efficiency.
• Troubleshoot complex equipment/software issues and implement sustainable solutions.
• Lead automation improvement initiatives with cross-functional teams to enhance DefMet systems.
• Identify innovative automation solutions and drive stakeholder buy-in.

Skills

Python

SQL

Data analysis

Cloud environments

GitHub CI/CD

Education

Level 8 degree (NFQ) in Science or Engineering

Tools

JMP

Python libraries

Job description

Role Overview

In this role, you will support and enhance automation systems that drive equipment performance, data analysis, and process optimization across defect metrology and related semiconductor manufacturing systems. You will apply software and data engineering skills to build scalable automation solutions, improve system reliability, and enable faster, more robust decision-making through better data integration, analysis, and deployment practices.

Job Details

Job Description:

Role Overview

In this role, you will support and enhance automation systems that drive equipment performance, data analysis, and process optimization across defect metrology and related semiconductor manufacturing systems. You will apply software and data engineering skills to build scalable automation solutions, improve system reliability, and enable faster, more robust decision-making through better data integration, analysis, and deployment practices.

You will work closely with various teams to troubleshoot complex system issues, develop automation frameworks, and implement solutions that improve tool performance, reduce variation, and prevent recurrence. This role also involves supporting sustaining, and innovation activities, with a strong focus on software-enabled process improvement.

Key Responsibilities

• Design, develop, and maintain automation solutions that support equipment performance monitoring, troubleshooting, and process improvement.
• Develop scalable software tools and scripts, primarily using Python, to automate data extraction, validation, analysis, and reporting workflows.
• Write and optimize SQL queries to access, transform, and analyze data from manufacturing and equipment systems.
• Support cloud-based application development and deployment for automation and analytics solutions.
• Implement and maintain CI/CD pipelines in GitHub to improve software quality, version control, testing, and deployment efficiency.
• Troubleshoot complex equipment and software-related issues, develop sustainable solutions, and implement strategies to prevent recurrence.
• Lead equipment and automation improvement initiatives with cross-functional teams to enhance operational performance of DefMet systems.
• Identify innovative automation solutions to equipment challenges and influence stakeholders to drive and implement change.
• Collaborate with engineering, manufacturing, and IT teams to improve automation architecture, data flow, and system reliability.

Qualifications

Minimum Requirements

• Level 8 degree (NFQ) or higher in a Science or Engineering discipline, such as Physics, Chemistry, Materials Science, Electrical/Electronic/Mechanical Engineering, Chemical Engineering, Mechatronics, Nanotechnology, Mathematics, Computer Science, or related fields.
• 4+ years of experience in an engineering, automation, equipment, data, or software-enabled manufacturing environment.
• Strong analytical and problem-solving skills, with hands-on experience troubleshooting complex systems.
• Practical experience with Python for automation, data processing, or engineering analysis.
• Strong working knowledge of SQL for data extraction, validation, and analysis.
• Experience with data analysis and visualization tools such as JMP, Python-based libraries, or similar tools.
• Familiarity with cloud-based development and deployment environments.
• Experience using GitHub for version control and CI/CD workflows.
• Proven ability to work autonomously with a high level of ownership and comfort with ambiguity.
• Excellent written and verbal communication skills, with the ability to clearly convey complex technical information.
• Strong organizational skills, attention to detail, and ability to manage multiple activities simultaneously.
• Strong teamwork skills and experience working in cross-functional and multicultural teams.

Preferred Requirements

• Experience in semiconductor manufacturing or related high-tech industries.
• Experience with yield analysis, defect reduction methodologies, and process improvement.
• Familiarity with equipment automation systems, industrial software, or manufacturing data platforms.
• Exposure to cloud-native application development, APIs, or automated deployment pipelines.
• Familiarity with machine learning techniques for predictive maintenance or defect classification.
• Experience with computer vision or image analysis tools relevant to defect detection.

Job Type

Experienced Hire

Shift

Shift 1 (Ireland)

Primary Location

Ireland, Leixlip

Additional Locations

Posting Statement

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation or any other characteristic protected by local law, regulation, or ordinance.

Position of Trust

N/A

EU Salary

We offer a total compensation package that ranks among the best in the industry.

Annual Salary Range for this job which could be performed in Ireland is: 59,200.00 € - 111,300.00 € The compensation range displayed in this posting reflects the minimum and maximum target compensation for this position. Within this range, individual pay is determined by job related skills, experience, and relevant education, training. As part of our total compensation approach, the final offer may include additional pay components and benefits. Your recruiting team will share the confirmed base salary along with any applicable total compensation elements upon employment offer delivery.

Work Model for this Role

This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.