Senior Engineer / Scientist – CMP Fundamentals, Modeling & Simulation

Posted Yesterday
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Newark, DE, USA
In-Office
Senior level
Artificial Intelligence • Semiconductor • Chemical • Manufacturing
The Role
Leads CMP fundamentals research, physics-based modeling, simulation validation, and experimental characterization. Develops and optimizes computational models involving solid and fluid mechanics, tribology, materials, and polishing processes. Designs validation experiments, calibrates models, evaluates uncertainty and numerical robustness, and correlates simulations with laboratory and customer outcomes. Collaborates across research, manufacturing, product development, data science, and external technical teams while communicating findings through reports, presentations, patents, and publications.
Summary Generated by Built In

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.


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 

#LI-LA1

#On-site

#Newark,DE


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Qnity is an equal opportunity employer. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability or any other protected class. If you need a reasonable accommodation to search or apply for a position, please visit our Accessibility Page for Contact Information.

Qnity offers a comprehensive pay and benefits package. To learn more visit the Compensation and Benefits page.

We use Artificial Intelligence (AI) to enhance our recruitment process.

Skills Required

  • Master's degree or Ph.D. in Mechanical Engineering, Chemical Engineering, Materials Science, Physics, Applied Mathematics, or a related discipline
  • Less than 5 years of industrial experience applying scientific and engineering principles to complex technical problems
  • Experience with 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 one relevant area, such as transport phenomena, fluid mechanics, polymer mechanics, contact mechanics, fracture mechanics, tribology, surface characterization, or materials characterization
  • Ability to work across theory, simulation, experimentation, and characterization
  • Strong interpersonal and collaboration skills with multidisciplinary technical teams
  • Familiarity with CMP consumables, processes, and polishing mechanisms
  • Understanding of polyurethane structure-property-performance relationships
  • Experience with FEA/FEM, CFD, multiphysics simulation, model verification and validation, uncertainty quantification, or sensitivity analysis
  • Hands-on experience with ANSYS, Abaqus, COMSOL, or high-performance computing
  • Experience evaluating model assumptions, governing equations, constitutive relationships, numerical stability, convergence, mesh and time-step independence, boundary conditions, calibration, parameter estimation, uncertainty, solver performance, and model validation

Qnity Electronics, Inc. Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Qnity Electronics, Inc. and has not been reviewed or approved by Qnity Electronics, Inc..

  • Strong & Reliable Incentives — Performance-based bonus plans tied to individual and company results are a core part of the package. Feedback suggests these incentives are positioned as competitive and, in some roles, experienced as meaningful.
  • Retirement Support — Retirement savings options are portrayed as strong, including a 401(k) with employer contributions. Some disclosures indicate automatic company contributions, reinforcing long-term financial support.
  • Healthcare Strength — Medical, dental, vision, life, and disability coverage are presented as comprehensive with additional wellbeing programs and day-one eligibility signals. This breadth is framed to support physical and financial wellbeing.

Qnity Electronics, Inc. Insights

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The Company
10,000 Employees
Year Founded: 2025

What We Do

Qnity Electronics, Inc. is a premier technology provider across the semiconductor and advanced electronics value chain. It specializes in providing high-performance materials and integration expertise to enable breakthroughs in AI, high-performance computing, and advanced connectivity. Its offerings range from semiconductor chip manufacturing solutions to high-speed transmission materials for complex electronic systems, serving as a critical partner in the global electronics ecosystem.

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