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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 AIdriven 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
- Bachelors or Masters 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 discreteevent simulation (DES) agentbased modeling or hybrid simulation approaches.
- Knowledge of statistics optimization and applied machine learning.
Required Experience
- 512 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
& 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: scikitlearn TensorFlow/PyTorch (optional)
. Optimization: ORTools Pyomo Gurobi/CPLEX
. Data processing: pandas NumPy SQL
- Familiarity with reinforcement learning heuristic optimization or hybrid AIsimulation 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 lifefor 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.
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