What techniques or methods are required for this Senior Engineer / Scientist – CMP Fundamentals, Modeling & Simulation role?

Surface characterization, Materials characterization.

One of 4,114 polymer and materials roles on Crosslinked, each read for materials, degree, visa and salary. See roles like this

Senior Engineer / Scientist – CMP Fundamentals, Modeling & Simulation

Q: Where is the Senior Engineer / Scientist – CMP Fundamentals, Modeling & Simulation role at Qnity based?

This role is based in Newark, DE.

Q: How many years of experience does this Senior Engineer / Scientist – CMP Fundamentals, Modeling & Simulation role require?

The posting calls for 0–5 years of relevant experience.

Q: What polymers or materials does this Senior Engineer / Scientist – CMP Fundamentals, Modeling & Simulation role work with?

Polyurethane, CMP pad materials.

Qnity · Newark, DEtoday

MS-level R&D / Research roles on Crosslinked list a median of $128k (64 that show pay). This posting does not list pay.

Model CMP pad materials and polishing mechanisms via physics-based simulation and characterization.

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Thermosets · R&D / Research roles, by email

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Worth knowing

Why it is interesting. Rare blend of polymer mechanics, tribology, and multiphysics simulation for semiconductor CMP consumables.

Might not be for you. Requires less than 5 years experience; heavy simulation focus may not suit hands-on experimentalists.

Bench and deskDeep specialist PhD-friendlyFirst industry role

Adjacent materials roleExpert knowledge in Polymer mechanics; Understanding of polyurethane structure-property-performance relationships; CMP pad materials

Seniority: Mid-level
Work: On-site
Type: Full-time
Degree: MS
Experience: 0–5 yrs
Industry: Semiconductor
Role: R&D / Research

Materials

Polyurethane26 roles CMP pad materials1 role

Techniques

Surface characterization7 roles Materials characterization67 roles

Role details

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.

AtQnity, we\u2019re more than a global leader in materials and solutions for advanced electronics and high-tech industries \u2013 we\u2019re 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.

Key Responsibilities

Technical Leadership& Scientific Problem Solving\u202F
Lead complex technical investigations requiring deep understanding of CMP fundamentals, material behavior, and process interactions.\u202F
Apply rigorous science-based methodologies to solve short- and long-term technology challenges.\u202F
Partner with research, applications, product development, manufacturing, and data science teams to accelerate innovation.\u202F

Simulation Reliability, Validation& Capability Development\u202F:

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 \u202Frepresent \u202Fphysical behavior.\u202F
Verify model accuracy through numerical checks, experimental validation, calibration, and uncertainty assessment.\u202F

Experimental Research& Characterization\u202F:

Design validation experiments in partnership with scientists and engineers.\u202F
Develop methods for model calibration and parameter identification.\u202F
Leverage characterization tools and experimental resources to improve understanding of polishing mechanisms.\u202F
Serve as an internal expert in texture characterization, material behavior, and performance-driving mechanisms.\u202F
Correlate simulation results with laboratory observations and customer outcomes.\u202F

CMP Fundamentals Development\u202F:

Build fundamental understanding of interactions between: \u202F
Pad materials and structure\u202F
Solid Mechanics\u202F\u202F
Fluid mechanics\u202F
Contact mechanics\u202F
Tribology and wear\u202F
Semiconductor process operating conditions\u202F
Translate scientific understanding into actionable design guidance and product development recommendations.\u202F

Mentorship& Collaboration

Develop and manage collaborations with internal and external technical experts.\u202F
Communicate findings through technical reports, presentations, customer interactions, patents, and publications.\u202F

Required Qualifications

Master's degree or Ph.D. in Mechanical Engineering, Chemical Engineering, Materials Science, Physics, Applied Mathematics, or related discipline.\u202F
Less than 5 years of industrial experience applying scientific and engineering principles to solve complex technical problems.\u202F
Demonstrated experience in mathematical modeling of physical systems and experimental method development.\u202F
Strong background in computational modeling, data analysis, and scientific computing.\u202F
Proficiency\u202Fwith MATLAB, Python, Maple, or similar technical computing environments.\u202F
Expert knowledge in\u202Fat\u202Fleast\u202Fsome of\u202Fthe following areas: \u202F
Transport phenomena\u202F
Fluid mechanics\u202F
Polymer mechanics\u202F
Contact mechanics\u202F
Fracture mechanics\u202F
Tribology\u202F
Surface characterization\u202F
Materials characterization\u202F
Comfortable working across theory, simulation, experimentation, and characterization.\u202F
Strong interpersonal and collaboration skills with multidisciplinary technical teams

Desired Skills

\u202F

Familiarity with CMP consumables, processes, and polishing mechanisms.\u202F
Understanding of\u202Fpolyurethane structure-property-performance relationships.\u202F
Experience with: \u202F
Finite Element Analysis (FEA/FEM)\u202F
Computational Fluid Dynamics (CFD)\u202F
Multiphysics Simulation\u202F
Model Verification& Validation (V)\u202F
Uncertainty Quantification\u202F
Sensitivity Analysis\u202F
Hands-on experience with: \u202F
ANSYS\u202F
Abaqus\u202F
COMSOL\u202F
High Performance\u202FComputing (HPC)\u202F
Experience evaluating: \u202F
Model assumptions, governing equations, and constitutive relationships\u202F
Numerical stability, convergence behavior, and solution robustness\u202F
Mesh and time-step independence studies\u202F
Boundary condition selection and sensitivity analyses\u202F
Model calibration, parameter estimation, and uncertainty quantification\u202F
Solver performance, computational efficiency, and runtime optimization\u202F
Verification and validation (V) methodologies for predictive engineering models\u202F
Correlation of simulation predictions with experimental observations and physical behavior\u202F

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#On-site

#Newark,DE

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