Semiconductor Manufacturing Automation Engineer

Semiconductor Manufacturing Automation Engineer


Job ID: 10362434

Sherman, TX, US

Engineering

Bachelors Degree

Full Time, Direct Hire

180000

Experienced (Non-Manager)

On-site

Electronics/Components and Semiconductor Mfg

First Shift (Day)

Sherman, TX, US

180000

Experienced (Non-Manager)

Full Time, Direct Hire

Electronics/Components and Semiconductor Mfg

On-site

Engineering

Bachelors Degree

First Shift (Day)

Job details

Position Overview

We are looking for a Semiconductor Manufacturing Automation Engineer to develop software, data, and workflow solutions that improve manufacturing execution across Thin Films, Implant, and Epitaxy operations.

This position combines semiconductor process knowledge with full-stack software development. The engineer will create tools that automate critical manufacturing activities, improve production decision-making, reduce cycle time, and support consistent execution across multiple manufacturing sites.

The ideal candidate is a self-directed problem solver who enjoys working directly with manufacturing teams, translating operational challenges into scalable technology solutions, and using modern development practices—including AI-assisted programming tools—to deliver practical results.

Key Responsibilities

  • Design, build, test, deploy, and maintain software applications that support semiconductor manufacturing operations.

  • Automate workflows related to:

    • Process qualifications

    • Lot and equipment dispositions

    • Process releases

    • Manufacturing approvals

    • Critical process-control activities


  • Develop applications that improve production flow, reduce manual effort, and minimize manufacturing cycle time.

  • Create data pipelines and system integrations that enable better process monitoring and operational decisions.

  • Investigate recurring process and equipment issues and develop automated methods to identify, prevent, or resolve them.

  • Partner with process engineers, equipment engineers, manufacturing personnel, project managers, and internal customers to understand business needs and define technical requirements.

  • Convert user requirements into reliable, intuitive, and maintainable software solutions.

  • Use modern development technologies and AI-assisted coding platforms to accelerate application development while maintaining appropriate quality, security, testing, and documentation standards.

  • Support integration between manufacturing applications, databases, equipment systems, and site-level data platforms.

  • Design solutions that can be adapted for use across multiple manufacturing locations.

  • Develop technical documentation, user instructions, support procedures, and troubleshooting guides.

  • Provide ongoing support and enhancements for deployed applications.

  • Identify opportunities to eliminate repetitive tasks and improve the efficiency of engineering and manufacturing workflows.

  • Establish sound software-development and lifecycle-management practices within the engineering organization.

  • Mentor colleagues on application development, code management, documentation, testing, and deployment methods.

  • Manage multiple projects while meeting agreed timelines and customer expectations.

Required Qualifications

  • Bachelor’s degree in Computer Science, Software Engineering, Engineering, Mathematics, or a related technical discipline.

  • At least five years of professional experience in full-stack software development.

  • Experience developing software solutions for manufacturing, industrial, engineering, or other operational environments.

  • Demonstrated ability to build and support applications without relying exclusively on no-code or co-development platforms.

  • Experience using AI-assisted software-development tools or agentic coding frameworks, such as Claude, GitHub Copilot, Cursor, or comparable technologies.

  • Strong programming, debugging, and systems-integration skills.

  • Ability to understand complex technical processes and translate them into effective automated workflows.

  • Strong communication skills and the ability to work with both software professionals and manufacturing subject-matter experts.

  • Demonstrated ownership, initiative, and commitment to delivering results.

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