Key Responsibilities:- Technical Leadership & Scientific Problem Solving
- Lead complex technical investigations requiring deep understanding of CMP fundamentals, material behavior, and process interactions.
- Apply rigorous science-based methodologies to solve short- and long-term technology challenges.
- Partner with research, applications, product development, manufacturing, and data science teams to accelerate innovation.
Simulation Reliability, Validation & Capability Development :- Build complex, physics-based simulation models from first principles
- Optimize model architecture, meshing strategy, solver settings, and runtime efficiency to enable reliable and practical use in product development.
- Evaluate model assumptions, governing equations, constitutive relationships, material models, and boundary conditions to ensure simulations accurately represent physical behavior.
- Verify model accuracy through numerical checks, experimental validation, calibration, and uncertainty assessment.
Experimental Research & Characterization :- Design validation experiments in partnership with scientists and engineers.
- Develop methods for model calibration and parameter identification.
- Leverage characterization tools and experimental resources to improve understanding of polishing mechanisms.
- Serve as an internal expert in texture characterization, material behavior, and performance-driving mechanisms.
- Correlate simulation results with laboratory observations and customer outcomes.
CMP Fundamentals Development :- Build fundamental understanding of interactions between:
- Pad materials and structure
- Solid Mechanics
- Fluid mechanics
- Contact mechanics
- Tribology and wear
- Semiconductor process operating conditions
- Translate scientific understanding into actionable design guidance and product development recommendations.
Mentorship & Collaboration:- Develop and manage collaborations with internal and external technical experts.
- Communicate findings through technical reports, presentations, customer interactions, patents, and publications.
Required Qualifications:- Master's degree or Ph.D. in Mechanical Engineering, Chemical Engineering, Materials Science, Physics, Applied Mathematics, or related discipline.
- Less than 5 years of industrial experience applying scientific and engineering principles to solve complex technical problems.
- Demonstrated experience in mathematical modeling of physical systems and experimental method development.
- Strong background in computational modeling, data analysis, and scientific computing.
- Proficiency with MATLAB, Python, Maple, or similar technical computing environments.
- Expert knowledge in at least some of the following areas:
- Transport phenomena
- Fluid mechanics
- Polymer mechanics
- Contact mechanics
- Fracture mechanics
- Tribology
- Surface characterization
- Materials characterization
- Comfortable working across theory, simulation, experimentation, and characterization.
- Strong interpersonal and collaboration skills with multidisciplinary technical teams
Desired Skills:- Familiarity with CMP consumables, processes, and polishing mechanisms.
- Understanding of polyurethane structure-property-performance relationships.
- Experience with:
- Finite Element Analysis (FEA/FEM)
- Computational Fluid Dynamics (CFD)
- Multiphysics Simulation
- Model Verification & Validation (V&V)
- Uncertainty Quantification
- Sensitivity Analysis
- Hands-on experience with:
- ANSYS
- Abaqus
- COMSOL
- High Performance Computing (HPC)
- Experience evaluating:
- Model assumptions, governing equations, and constitutive relationships
- Numerical stability, convergence behavior, and solution robustness
- Mesh and time-step independence studies
- Boundary condition selection and sensitivity analyses
- Model calibration, parameter estimation, and uncertainty quantification
- Solver performance, computational efficiency, and runtime optimization
- Verification and validation (V&V) methodologies for predictive engineering models
- Correlation of simulation predictions with experimental observations and physical behavior
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