Advanced Multiscale Process Modeling Engineer
Location: Hyderabad, AP, IN
Company: Micron
Responsibilities include but are not limited to:
- Development of unit-process models and its cross-interactions in a process flow
- Perform process space exploration, and statistical studies to derive margin and sensitivity
- Perform process simulations, validation, optimization, and devise predictive control strategies
- Build unit-process models to better predict memory scaling roadmap
- Estimate impact of process on structural stability, electrical performance, yield, and reliability
- Model and simulate processes at reactor-, wafer-, die-, and feature-scale
- Modeling of plasma in reactor/equipment, plasma-surface/materials interactions, and feature profile evolution
- Process simulations using various methods: MC, MD, phase-field, cellular-automata, level-set, computational fluid dynamics (NS and LBM),reactive multiphase flows, micro-/nano-fluidics, immersed boundary, mesh-free, and various finite-differences, finite-elements, and finite volume simulations of mass, heat, and fluid transport
- Perform mesh generation, structure conversions, algorithms and software development, large-scale visualization, and parallel programming
- Development of advanced numerical methods, meshing algorithms, multi-scale modeling and coupling schemes, and stand-alone applications
- Work with process teams and equipment suppliers to deliver process-equipment models to process teams
- Develop stress/strain models that captures process-induced deformation and failures using finite element structural mechanics, thermo-mechanical, and fluid-structure simulations
- Apply and implement ML/AI techniques for process analytics
- Design, develop, test, deploy and maintain applications/software
Qualifications:
- 3+ years of experience in the use of process modeling tools
- 3+ years of experience in multi-scale multi-physics modeling/simulations
- 2+ years of experience in statistical, machine learning, and AI techniques
- 2+ years of experience with stress/strain modeling
- Strong background in thermodynamics and kinetics
- Strong background in semiconductor processes and fabrication
- Strong background in machine learning algorithms and image processing
- Strong knowledge of solid mechanics
- Experience with application development is strongly desired
- Excellent verbal and written communication skills with the ability to operate across large teams in a fast-paced dynamic environment
Education: A MS/M.Tech or PhD in Chemical Engineering, Electrical Engineering, Computer Science, Materials Science, Physics, Chemistry, Mechanical Engineering, or related discipline.
4 Years 
Salary not disclosed 
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