Capacity Planning Engineer

SkyWater Technology, Inc.; Austin (TX); On-site; USD 90,000 - 120,000; Full time

Job summary

SkyWater Technology, Inc. is seeking a Capacity Planning Engineer in Austin, TX. You will lead capacity modeling across production toolsets, build analytics and decision-support tools, and drive factory improvements with cross-functional teams.

You will mentor entry-level engineers, partner with Operations to define metrics, and present insights to leadership to guide strategy and policy. The role emphasizes data automation and long-range factory planning.

Qualifications

• BS in Industrial Engineering or related degree.
• 2+ years experience in a manufacturing environment.
• Expertise with capacity modeling techniques and planning tools.
• Proven ability to lead complex projects and influence cross-functional teams.
• Strong data mining & analytics using ETL tools (SQL, APF, Google BigQuery, Oracle).
• Excellent communication translating findings for leadership.

Responsibilities

• Own capacity modeling for all production toolsets and develop long-term roadmaps.
• Develop and deploy advanced analytics and decision-support tools to improve factory performance.
• Drive cross-functional initiatives to improve OEE, Cycle Time, throughput, and bottleneck tool performance.
• Define factory metrics with Operations leadership and prioritize high-impact improvements.
• Present data-driven insights and recommendations to factory leadership.
• Mentor entry-level engineers and develop scalable business processes for IE and Planning teams.

Skills

Data analytics

Cross-functional leadership

Communication

Education

BS in Industrial Engineering

Tools

SQL

APF

Google BigQuery

Oracle

Job description

The SkyWater TexasCapacity Planning Engineer will leverage advanced capacity modeling approaches, data analytics, statistical methods, and factory planning concepts to drive strategic decision making, improve fab efficiency, and enhance customer satisfaction. The Capacity Planning Engineer will lead initiatives in capacity planning, data automation, manufacturing execution, and long‑range factory strategy while mentoring entry‑level engineers and influencing cross‑functional teams.

Key Responsibilities:

• Own capacity modeling for all production toolsets, providing technical direction and long‑term improvement roadmaps
• Lead the development and deployment of advanced analytics, statistical models, and decision‑support tools to improve factory performance
• Drive cross‑functional initiatives to improve Overall Equipment Effectiveness (OEE), Cycle Time, throughput, and bottleneck tool performance
• Partner with Operations leadership to define factory metrics and prioritize high‑impact improvements
• Present data‑driven insights and recommendations to factory leadership to influence strategic planning and policy decisions
• Engage with on‑floor personnel to identify and eliminate tactical factory constraints
• Mentor and coach entry‑level team members, providing technical leadership on high‑impact projects
• Develop and improve business processes that support the Industrial Engineering and Planning teams

Required Qualifications:

• BS in Industrial Engineering or related degree
• 2+ years experience in a manufacturing environment
• Demonstrated expertise with capacity modeling techniques, statistical methods, and planning tools used in Manufacturing Science and Production Control
• Proven ability to lead complex projects, influence cross‑functional teams, and deliver measurable factory improvements
• Strong proficiency with Data Mining & Analytics using ETL tools such as SQL, APF, Google Big Query, Oracle, etc.
• Excellent communication skills with the ability to translate technical findings into actionable recommendations for leadership

Preferred Qualifications:

• Semiconductor manufacturing experience
• Experience developing and maintaining Tableau dashboards or similar visualization tools
• Working knowledge of APF Real Time Dispatching (RTD)