About the role
AI summarisedSpearhead the formation of a next-generation fab digital twin team, driving innovation in an environment where NVIDIA Omniverse and OpenUSD-based simulation technologies are new to the organization. This role requires translating emerging technology capabilities into transformative business value while mentoring a team through rapid experimentation and industry-first innovation.
IDMOnsiteSmart MFG/AI
Key Responsibilities
- Lead the exploration, definition, and delivery of cutting-edge digital twin use cases for advanced manufacturing operations.
- Architect scalable simulation pipelines and shape data/model strategies to establish technical standards for real-time, physics-accurate virtual representations of fabs.
- Build and maintain data-driven models representing fab processes, equipment behavior, and subfab utilities by integrating IoT sensor data, MES, and facility data.
- Utilize simulation tools (e.g., NVIDIA Omniverse) to run 'what-if' scenarios for layout changes, capacity planning, and process improvements.
- Develop algorithms for predictive maintenance, throughput optimization, and energy efficiency using statistical and ML techniques.
- Collaborate with process engineers, facility planners, and IT teams to ensure seamless integration of digital twin solutions across AI, automation, and Industry 4.0 initiatives.
Requirements
- Master’s/PhD in Operations Research, Computer Science, Data Science, or other quantitative disciplines with a strong emphasis on optimization and simulation.
- 12+ years of experience in 3D modeling and Simulation (experience with Omniverse or similar is required).
- 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).