pythonmathematical modelingmatlabscientific computinguncertainty quantificationfinite element analysiscmpcomputational fluid dynamicstribologymultiphysics simulation
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Текст:
Hirify AI/Оригинал
TL;DR
Senior Engineer / Scientist – CMP Fundamentals, Modeling & Simulation (Advanced Electronics): Developing and validating physics-based models linking CMP consumable properties, process conditions, and polishing performance with an accent on computational modeling, experimental validation, and materials characterization. Focus on building reliable simulation capabilities, quantifying uncertainty, correlating predictions with laboratory and customer outcomes, and guiding complex technical investigations.
Location: Onsite in Newark, Delaware, United States; approximately 20% travel may be required. Candidates should be willing to relocate to the Newark area, with possible flexibility during initial onboarding.
Company
hirify.global develops materials and solutions for advanced electronics and high-tech industries.
What you will do
Lead complex technical investigations involving CMP fundamentals, material behavior, and process interactions.
Build, optimize, and apply physics-based simulation models for CMP consumables and polishing processes.
Validate models through numerical checks, experiments, calibration, uncertainty assessment, and correlation with laboratory and customer outcomes.
Design validation experiments and characterization methods to improve understanding of polishing mechanisms and material behavior.
Define the predictive modeling capability roadmap and translate scientific findings into product development recommendations.
Mentor scientists, engineers, and technicians while collaborating with research, applications, manufacturing, product development, and data science teams.
Requirements
Master’s degree or Ph.D. in Mechanical Engineering, Chemical Engineering, Materials Science, Physics, Applied Mathematics, or a related discipline.
5–10+ years of industrial experience solving complex technical problems using scientific and engineering principles.
Experience with mathematical modeling of physical systems, experimental method development, computational modeling, data analysis, and scientific computing.
Proficiency with MATLAB, Python, Maple, or similar technical computing environments.
Expertise in areas such as transport phenomena, fluid mechanics, polymer mechanics, contact mechanics, fracture mechanics, tribology, or materials and surface characterization.
Ability to work across theory, simulation, experimentation, and characterization and collaborate with multidisciplinary technical teams.
Nice to have
Experience with CMP consumables, processes, polishing mechanisms, and polyurethane structure-property-performance relationships.
Experience with finite element analysis, computational fluid dynamics, multiphysics simulation, model verification and validation, uncertainty quantification, or sensitivity analysis.
Hands-on experience with ANSYS, Abaqus, COMSOL, or high-performance computing.
Experience with model calibration, parameter estimation, solver optimization, mesh and time-step independence studies, and numerical stability analysis.
Technical innovation demonstrated through patents, publications, or product development contributions.
Culture & Benefits
Collaborative environment spanning research, applications, product development, manufacturing, and data science.
Opportunities to mentor technical staff and develop collaborations with internal and external experts.
Comprehensive pay and benefits package.
Work includes customer sites, development facilities, collaborator locations, and technical review meetings.
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