Implant Equipment Engineer

Job Description

Acara Solutions is seeking an Implant Equipment Engineer in Boise, ID.

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The Implant Equipment Engineer will be responsible for the reliability, performance, optimization, and maintenance of ion implantation equipment supporting high-volume semiconductor manufacturing. This role will work closely with process engineering, manufacturing, integration, yield, and equipment vendor teams to maintain equipment performance, improve uptime, and ensure safe and efficient fab operations.

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Responsibilities:

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• Own ion implantation equipment performance, reliability, and sustainment, including equipment health metrics, maintenance strategies, and operating standards.
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• Improve equipment uptime, reliability, and defect reduction through data analysis, statistical process control (SPC), and root cause analysis.
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• Lead equipment change reviews, risk assessments, qualifications, and implementation of new tools, upgrades, and hardware improvements.
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• Collaborate with process engineering, integration, manufacturing, and equipment vendors to ensure equipment capability meets production requirements.
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• Identify and implement improvements in equipment productivity and operational efficiency through automation, monitoring, and predictive maintenance.
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• Analyze equipment and manufacturing data to identify trends, resolve recurring issues, and drive continuous improvement.
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• Apply emerging AI technologies and develop efficient workflows to support equipment engineering activities.
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Minimum Qualifications:

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• At least 2 years of semiconductor manufacturing experience in equipment ownership, maintenance, or engineering support; alternatively, equivalent military experience or an associate degree with 5+ years of relevant industry experience.
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• Ability to work onsite in a semiconductor manufacturing environment.
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• Understanding of Agentic AI or willingness to learn and apply AI tools to improve engineering workflows.
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Preferred Qualifications:

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• Strong understanding of ion implantation equipment, subsystems, and operating principles.
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• Experience supporting high-volume semiconductor manufacturing with demanding equipment uptime and reliability requirements.
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• Demonstrated ability to analyze complex equipment and manufacturing data and apply statistical methods to drive improvements.
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• Familiarity with SPC, FMEA, equipment qualification, root cause analysis, and reliability improvement methodologies.
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• Programming or data analysis experience using Python, JMP, SQL, or similar tools.
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