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Logan Hill

Logan Hill

Process Engineering & Automation Lead at Samsung Austin with accomplishments in APC SME (50% Variance Reduction) and 112-Tool Recovery Orchestrator.

Talent
HoustonMember since July 22, 2026
Statistical Process Control (SPC)Quality Management Systems (QMS) Frameworks8D Root Cause AnalysisNew Product Introduction (NPI)Process AutomationProcess ImprovementData AnalyticsQuality ControlAdvanced Process Control (APC)Parameter ControlHigh-Precision System IntegrationFailure Mode and Effects Analysis (FMEA)Technical Risk Assessments
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Statistical Process Control (SPC)Quality Management Systems (QMS) Frameworks8D Root Cause AnalysisNew Product Introduction (NPI)Process Automation

About

Analytical and highly specialized Process Engineer with extensive experience optimizing complex technical workflows, managing advanced equipment lifecycles, and driving statistical rigor in high-volume, sub-micron cleanroom environments. Proven technical authority in minimizing system variance, executing structured technology transfers, and managing multi-stakeholder equipment restorations. Technical consultant skilled in leveraging Quality Management Systems (QMS) frameworks, first-principles engineering, and formal root-cause protocols to perform manufacturing risk reviews and establish strict process standards.

Experience

Process Engineer II at Samsung Austin Semiconductor (2025-05 – Present)

  • Orchestrated the cleanroom maintenance recovery and multi-stakeholder technical restoration of a 112-tool manufacturing fleet under strict execution windows, achieving zero safety or quality operational drift.
  • Served as Subject Matter Expert (SME) for the department's Automated Process Control (APC) systems, leading a data-driven precision engineering project that cut equipment variance by 50% across primary toolsets.
  • Spearheaded an independent process improvement initiative as technical process owner, successfully identifying and mitigating a critical process issue to secure a documented $60,000/month reduction in product loss.
  • Architected the end-to-end New Product Introduction (NPI) pipeline and baseline tool qualifications for an expanding cleanroom line, defining critical baseline engineering parameters to de-risk commercial scale-up.
  • Directed cross-departmental engineering task forces utilizing 8D root cause analysis within formal QMS structures to systematically investigate and resolve technical equipment deviations impacting 40% of production yield.
  • Established internal process standards by authoring compliant Standard Operating Procedures (SOPs), detailed process flow documents, and technical workflows to eliminate operational drift across engineering teams.
  • Evaluated and Qualified a critical second-source manufacturing component to strengthen infrastructure supply chain resilience, capturing $5,000 in direct cost savings per unit.

Process Engineer I at Samsung Austin Semiconductor (2023-05 – 2025-05)

  • Managed the technical department shutdown, process qualification lifecycle, and automated recovery of 111 cleanroom tools during scheduled maintenance windows to guarantee strict quality and mechanical compliance.
  • Executed data-driven process optimization projects that tracked tool variance, decreased average mechanical defects, and raised the zero-defect manufacturing baseline by 10%.
  • Developed and institutionalized a centralized engineering knowledge hub, drastically reducing team onboarding timelines and accelerating collaborative technology transfer efficiency.

Shift Engineer I at Samsung Austin Semiconductor (2022-07 – 2023-05)

  • Coordinated high-velocity logistics and managed a $50,000 maintenance budget across multiple technical disciplines during time-critical asset optimization campaigns.
  • Monitored automated Statistical Process Control (SPC) tracking systems and initiated proactive preventive maintenance workflows to stabilize line yield and secure rigorous quality control.

Education

Bachelor of Science in Mechanical Engineering – Texas A&M University (2021-12)

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