CLAWS Manufacturing Systems Engineer

Posting Information

Posting Number: PG194606EP

Internal Recruitment:
No

Working Title:

CLAWS Manufacturing Systems Engineer

Anticipated Hiring Range:
Commensurate with Education and Experience

Work Schedule:

Monday
- Friday; 8am - 5pm

Job Location:

Raleigh, NC

Department:
Commercial Leap Ahead for Wide Bandgap Semiconductors (CLAWS)

About the Department:
North Carolina State University is leading the charge as the recipient of a $39.4 million award from the Department of Defense to establish the regional Microelectronics Commons regional innovation hub, Commercial Leap Ahead for Wide Bandgap Semiconductors (CLAWS). This initiative, part of the larger $238 million investment through the Creating Helpful Incentives to Produce Semiconductors (CHIPS) and Science Act, aims to revolutionize the field of wide bandgap semiconductors.

Hub leadership, Distinguished Professors John Muth and Fred Kish, are dedicated to the "lab to fab" journey-translating laboratory advancements into fabrication capabilities for wide bandgap semiconductors. The hub brings together a dynamic partnership with N.C. A&T State University and industry leaders, including Wolfspeed, Coherent Corp., General Electric, Bluglass, Adroit Materials, and Kyma Technologies, Inc. This collaborative effort will propel the development of semiconductors crucial for national defense, electric vehicles, power grid technologies, 5G/6G, quantum technologies, and artificial intelligence applications.

Wolfpack

Perks and Benefits :
As a Pack member, you belong here, and can enjoy exclusive perks designed to enhance your personal and professional well-being. We encourage you to review our Employee Value Proposition and learn more about what makes NC State the best place to learn and work for everyone.

What we offer:

• Medical
  , Dental
  , and Vision
• Flexible Spending Account
• Retirement Programs
• Disability Plans
• Life Insurance
• Accident Plan
• Paid Time Off and Other Leave Programs
• 12 Holidays Each Year
• Tuition and Academic Assistance
• And so much more!

Attain Work-life balance with our childcare benefits, Wellness & Recreation Membership, and Wellness Programs that aim to build a thriving wolfpack community. Disclaimer:
Perks and Benefit eligibility is based on Part-Time or Full-Time Employment status. Eligibility and Employer Sponsored Plans can be found within each of the links offered.

We are seeking a motivated Manufacturing Execution System (MES) / Database Engineer to support and develop the digital infrastructure of our advanced semiconductor research foundry. The position focuses on enhancing MES workflows and managing Oracle-based backend systems to improve process traceability, data integrity, and operational efficiency in an R&D fabrication environment.

Key Responsibilities:

• MES Workflow Development & Support (40%) – Create and implement MES workflows to support custom semiconductor fabrication process flows. Support foundry users in establishing new fabrication process flows.
• Build and maintain digital traveler systems for lot tracking, process documentation, and process monitoring.
• Integrate MES with process tools and data acquisition systems.
• Develop intuitive user interfaces and dashboards for tracking materials, fabrication lots, and operating metrics, including process controls (SPC).
• Ensure data consistency and traceability throughout fabrication process flows.

• Database Architecture & Management (30%) – Administer databases storing process metadata, experiment logs, and tool usage history.
• Design and maintain scalable schemas and optimize query performance for large datasets.
• Ensure data security, backup protocols, and system uptime.
• Support analytics and reporting needs from internal teams and external partners

• Data Integration & Automation (20%) – Automate data collection pipelines from lab equipment, process logs, and measurement tools.
• Support integration with homegrown and third-party web-based applications.
• Develop and maintain APIs, ETL processes, and scheduled jobs to support workflows.
• Enable clean data delivery for analytics, visualization, and AI/ML use cases.

• Collaboration & Support (10%) – Work with process engineers, cleanroom staff, and IT…