Cadence is seeking a Meshing Engineering Developer to implement and enhance meshing algorithms for CAD and simulation applications. The role involves working on Delaunay-based mesh generation, mesh adaptation, and contributing to mesh coarsening and refinement methods. Candidates should have a Ph.D. with 3+ years or a Master's with 5+ years of experience, a strong background in C++ programming, data structures, numerical methods, and computational geometry, along with expertise in various meshing techniques.
Good To Have:
Familiarity with geometric modeling kernels (ACIS preferred).
Must Have:
Ph.D. in Computer Science, Applied Mathematics, Computational Engineering, or related field with 3+ years of experience, OR Master’s degree with 5+ years of experience.
Solid background in Delaunay mesh generation and adaptation.
Experience in mesh refinement and coarsening methods.
Good understanding of surface meshing algorithms and geometry cleanup.
Proficiency in C++ programming and data structures.
Knowledge of numerical methods and computational geometry.
Strong problem-solving and debugging skills.
Ability to work effectively in a collaborative R&D environment.
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Responsibilities
Implement and enhance meshing algorithms for CAD and simulation applications.
Work on Delaunay-based mesh generation and mesh adaptation workflows.
Contribute to mesh coarsening and refinement methods (e.g., bisection).
Develop and maintain surface meshing and mesh cleaning capabilities.
Collaborate with senior developers to integrate meshing features into larger software systems.
Support testing, validation, and debugging of meshing functionalities.
Qualifications
Ph.D. in Computer Science, Applied Mathematics, Computational Engineering, or related field with 3+ years of experience, OR Master’s degree with 5+ years of experience.
Solid background in Delaunay mesh generation and adaptation.
Experience in mesh refinement and coarsening methods.
Good understanding of surface meshing algorithms and geometry cleanup.
Proficiency in C++ programming and data structures.
Knowledge of numerical methods and computational geometry.
Familiarity with geometric modeling kernels (ACIS preferred) is a plus.
Strong problem-solving and debugging skills.
Ability to work effectively in a collaborative R&D environment.
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