STAFF/ PRINCIPAL ENGINEER, SG TD PLANNING SIC - #1175162

The Staff/Principal Engineer, SG TD Planning SIC is the subject technical authority for Technology Development starts, inventory, and cycle-time planning and execution in Singapore. The role establishes the technical direction, operating mechanisms, analytical standards, and automation roadmap needed to translate TD business priorities into executable wafer plans and predictable delivery. Working across TD, Manufacturing, Process Integration, Process Engineering, Operations, Planning, and global IE partners, this position influences decisions on wafer starts, work-in-progress, priority allocation, cycle time, capacity constraints, and risk mitigation.

The Staff/Principal Engineer is expected to solve ambiguous, high-impact problems, create scalable solutions adopted beyond the immediate team, influence cross-functional strategy, advise senior leaders, and develop the next generation of SIC and planning talent.

Main Responsibilities

• Own the technical strategy and governance for SG TD SIC, including wafer-start planning, WIP health, cycle-time performance, turns, priority-lot allocation, milestone readiness, and recovery planning.

• Translate TD business plans, technode milestones, development priorities, and tactical changes into executable fab loading and pacing strategies with clear assumptions, trade-offs, risks, and decision points.

• Establish planning standards, control mechanisms, and review cadences that connect starts, WIP, capacity, dPOR, priority, redundancy, and cycle-time outcomes.

• Lead cross-functional resolution of complex or chronic performance gaps. Frame the problem, identify root causes, evaluate scenarios, align stakeholders, and drive actions through closure.

• Provide technical counsel to TD and site leadership on decisions that may materially affect critical program milestones, cost, capacity, cycle time, quality, or capability.

• Define and maintain the SIC analytics and automation roadmap. Convert manual workflows into governed, scalable, and supportable solutions using SQL, Python, Tableau, Power BI, AI/Copilot capabilities, and approved enterprise data platforms.

• Create predictive and prescriptive methods for early risk detection, WIP flow optimization, starts optimization, priority management, and cycle-time improvement.

• Ensure analytical products have validated data, documented logic, clear ownership, appropriate controls, and measurable business adoption. Establish a trusted single source of truth for core SIC metrics.

• Lead technical reviews and executive discussions using concise, decision-oriented communication. Clearly present performance, scenario results, risks, recommendations, and asks.

• Partner with global TD IE and site organizations to benchmark methods, proliferate best known methods, and drive common standards where they create business value.

• Lead complex, multidisciplinary initiatives of critical importance, exercising independent judgment on technical direction, methods, priorities, and business trade-offs.

• Create new methods and scalable standards for ambiguous or chronic problems, with solutions adopted across teams, areas, or sites.

• Influence cross-functional strategy and provide technical counsel to senior leaders on significant risks, investments, and prioritization decisions.

• Complete all work in accordance with Micron safety, environmental, security, data-governance, and confidentiality requirements.

Other Responsibilities

• Demonstrate advanced capability in data extraction, transformation, analysis, visualization, statistical methods, and manufacturing decision support.

• Architect maintainable automation solutions with version control, data-quality checks, exception handling, documentation, access controls, and defined support ownership.

• Optional: Use SQL and Python to integrate and analyze large manufacturing datasets; use Tableau and/or Power BI to deliver intuitive operational and leadership views.

• Apply AI and approved Copilot capabilities to accelerate analysis, summarize operational signals, identify anomalies, and reduce repetitive work while maintaining human validation and data confidentiality.

• Quantify automation value through adoption, hours eliminated, decision-cycle reduction, improved data quality, earlier risk detection, or measurable manufacturing outcomes.

AI Responsibilities

• Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and legal requirements

• Contributes to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one’s scope of work.

Minimum Required Qualifications/Experience

• Master’s degree with ≥5 years, or Bachelor’s degree with ≥7 years of relevant experience in Industrial Engineering, Manufacturing Engineering, Operations Research, Data Science, Supply Chain, Computer Science, or a related technical discipline, or equivalent relevant experience.

• Engineering or manufacturing experience in semiconductor operations, technology development, factory planning, industrial engineering, or a closely related environment.

• Demonstrated expert knowledge in at least one relevant sub-function or extensive working knowledge across multiple adjacent areas such as production planning, cycle time, capacity, scheduling, WIP management, or manufacturing analytics.

• Proven record of leading high-complexity, cross-functional technical initiatives or delivering measurable business outcomes.

• Advanced problem-solving, analytical skills, ability to structure ambiguous issues, evaluate alternatives, assess risk, or make data-based recommendations.

• Advanced proficiency with manufacturing data systems or analytical tools like SQL, Python, Tableau, or Power BI.

Must Have Soft Skills

• Ability to communicate highly complex information clearly to engineers, cross-functional partners, and senior leaders.

• Demonstrated ability to mentor technical talent and influence without direct authority.

Embody Micron’s core values

• People – Respect, develop, and empower others

• Innovation – Drive continuous improvement and breakthrough thinking

• Tenacity – Show grit and determination

• Collaboration – Build trust and foster teamwork

• Customer Focus – Deliver excellence and value

• Speed – Act with purpose and set the pace