Capacity Planning Engineer
SkyWater Technology
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- Location
- Austin, TX
- Work style
- On-site
- Posted
- Oct 9
- 11 days ago
Career path
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About the company
SkyWater Technology
Semiconductors · 501 to 1,000 employees
What you'll do
- 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
What you need
- Requires a BS in Industrial Engineering or a related degree and 2+ years of experience in a manufacturing environment.
- Requires expertise in capacity modeling, statistical methods, and manufacturing planning tools, plus project leadership, analytics, and communication skills.
- Education: a bachelor's degree
Key skills
capacity modelingstatistical methodsData Mining & AnalyticsSQLAPFGoogle Big QueryOracleTableauIndustrial Engineering
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Read the full posting here
The SkyWater Texas
Capacity 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)