principal software engineering Principal Engineer tech_leadership 3+ yrs Master's · Posted Apr 20, 2026

About this role

Cadence Design Systems is hiring a principal-level Principal Engineer in the software engineering function based in Shanghai, China. The posting calls out experience with Data Structures and roughly 3+ years of relevant work. Listed education preference: a master's degree or equivalent.

Role
Principal Engineer
Function
software engineering
Level
principal
Track
Tech leadership
Employment
Full-time
Location
Shanghai, China
Experience
3+ years
Education
Master's degree
Posted
Apr 20, 2026
AI Summary
Develop and enhance meshing algorithms for CAD and simulation applications, focusing on Delaunay-based mesh generation, adaptation, refinement, and surface meshing. Requires Ph.D. in Computer Science/Applied Mathematics with 3+ years experience or Master's with 5+ years, strong C++ proficiency, and computational geometry expertise.

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Job description

from Cadence Design Systems careers

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.

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.

We’re doing work that matters. Help us solve what others can’t.

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