About the role
AI summarisedPrincipal Data Scientist at Micron Technology, a semiconductor company, leading the creation of a next-generation fab digital twin team. The role involves architecting scalable simulation pipelines using NVIDIA Omniverse and OpenUSD, developing predictive models, and driving innovation in advanced manufacturing operations.
IDMFull-timeSmart MFG/AI
Key Responsibilities
- Digital Twin Development: Build and maintain data-driven models representing fab processes, equipment behavior, and subfab utilities. Integrate IoT sensor data, MES data, and facility data into the digital twin platform.
- Simulation & Optimization: Use simulation tools (e.g., NVIDIA Omniverse) to run what-if scenarios for layout changes, capacity planning, and process improvements. Optimize fab workflows for cost, energy, and productivity. Simulate continuous, time-aware construction —beyond traditional 3D BIM—with: Construction phasing & sequencing, Structural load simulation, Occupant movement and site logistics, etc. OpenUSD‑based robotics training and simulation for better sim‑to‑real transfer
- Predictive Analytics & Machine Learning: Develop algorithms for predictive maintenance, throughput optimization, and energy efficiency. Apply statistical and ML techniques to forecast equipment failures, cycle time variations, and yield impacts.
- Collaboration: Work closely with process engineers, facility planners, and IT teams to ensure seamless integration of digital twin solutions. Support cross-functional projects involving AI, automation, and Industry 4.0 initiatives.
Requirements
- Master's/PhD degree in Operations Research, Computer Science, Data Science or other quantitative disciplines with strong emphasis on optimization, simulation, and algorithmic problem-solving.
- 12+ years of experience in 3D modeling and Simulation (experience in omniverse, or similar).
- Strong proficiency in Python, R, SQL, and data engineering.
- Experience with machine learning frameworks (TensorFlow, PyTorch) and simulation tools.
- Knowledge of semiconductor manufacturing processes and fab operations.
- Familiarity with IoT data pipelines, MES systems, and cloud platforms (AWS, Azure).