Senior Engineer / Scientist – CMP Fundamentals, Modeling & Simulation

Qnity•Newark, DE

6d•Onsite

About The Position

Are you looking to power the next leap in the exciting world of advanced electronics? Do you want to help solve problems that drive success in the rapidly evolving technology and connectivity landscape? Then bring your problem-solving, passion, and creativity to help us power the next leap in electronics. At Qnity, we’re more than a global leader in materials and solutions for advanced electronics and high-tech industries – we’re a tight-knit team that is motivated by new possibilities, and always up for a challenge. All our dedicated teams contribute to making cutting-edge technology possible. We value forward-thinking challengers, boundary-pushers, and diverse perspectives across all our departments, because we know we play a critical role in the world enabling faster progress for all. Learn how you can start or jumpstart your career with us.

Requirements

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

Nice To Haves

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.

Responsibilities

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.
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.
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.
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.
Develop and manage collaborations with internal and external technical experts.
Communicate findings through technical reports, presentations, customer interactions, patents, and publications.