Our vision is to transform how the world uses information to enrich life for all.
Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing.
We are seeking a highly skilled Principle Data Scientist to lead the development of semiconductor fab digital twin models, advanced simulation frameworks, and AI‑driven optimization solutions.
This role will design, build, and deploy predictive and prescriptive systems that enhance factory performance, improve decision-making, and drive operational excellence across complex manufacturing environments.
The ideal candidate combines deep knowledge of semiconductor manufacturing systems, simulation modeling, and machine learning/optimization techniques, with a proven ability to translate technical insights into impactful operational improvements.
Job Responsibilities
Required Qualification
- Bachelor’s or Master’s degree in Industrial Engineering, Systems Engineering, Computer Science, Electrical Engineering, or a related field.
- PhD in a relevant discipline is a plus (e.g., Operations Research, Simulation Modeling, Digital Twin, Applied AI/ML).
- Strong foundation in semiconductor manufacturing systems, factory physics, and production planning concepts.
- Solid understanding of discrete‑event simulation (DES), agent‑based modeling, or hybrid simulation approaches.
- Knowledge of statistics, optimization, and applied machine learning.
Required Experience
- 5~12+ years of experience in semiconductor fab operations, digital twin development, or manufacturing optimization roles.
- Hands-on experience building digital twin models for complex production systems (preferably 300mm/200mm fabs).
- Proven track record designing or implementing:
. Discrete-event simulation models for cycle time, WIP behavior, bottleneck analysis, or capacity planning.
. AI/ML-based optimization (dispatching, scheduling, predictive modeling, anomaly detection).
- Experience working with EWS/MES systems, fab scheduling/dispatching rules, and lot/equipment behavior.
- Demonstrated collaboration with cross-functional teams (Ops, IE, Manufacturing Engineering, Data Science).
- Experience deploying solutions into production IT/OT environments is a strong advantage.
Skillset
1.Simulation & Modeling
- Expertise in tools like AnyLogic, FlexSim, Simio, Plant Simulation, Arena, or custom Python-based simulation frameworks.
- Capability to build scalable, data-driven, and object-oriented fab digital twin architectures.
- Knowledge of factory physics, queueing theory, throughput modeling, and bottleneck analysis.
2. AI, Optimization & Analytics
- Strong skills in Python, including libraries for:
. ML/AI: scikit‑learn, TensorFlow/PyTorch (optional)
. Optimization: OR‑Tools, Pyomo, Gurobi/CPLEX
. Data processing: pandas, NumPy, SQL
- Familiarity with reinforcement learning, heuristic optimization, or hybrid AI‑simulation methods.
- Ability to design predictive models, prescriptive analytics, and real-time optimization algorithms
3. Soft Skills
- Strong analytical mindset with the ability to simplify complex system behavior.
- Excellent communication skills for explaining models, assumptions, and results to non-technical stakeholders.
- Ability to lead technical initiatives, mentor junior engineers, and drive cross-functional collaboration.
- Proactive problem-solving approach and ownership mindset.
About Micron Technology, Inc.
We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience.
To learn more, please visit micron.com/careers
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
To request assistance with the application process and/or for reasonable accommodations, please contact hrsupport_sg@micron.com
Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.
Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.
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