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Cadence Design Systems

Develops EDA software, IP, verification tools

Principal Software Engineer - Meshing

Software EngineeringConfirmed live in the last 24 hours
Full-timeShanghai, ChinaNo salary listedIn-person

About the Job

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Mechanical Engineering, Computational Engineering, Computer-Aided Engineering, Applied Mathematics, or a related engineering discipline.
  • 12+ years of software engineering experience delivering commercial or enterprise engineering software, preferably in CAE, meshing, simulation, or scientific computing domains.
  • Deep expertise in meshing algorithms, surface mesh generation, volume mesh generation, mesh quality metrics, sizing controls, mesh cleanup, and mesh improvement workflows.
  • Strong background in C++ software development for large-scale engineering, scientific, CAE, or meshing-intensive applications.
  • Experience designing and implementing robust meshing algorithms and production-quality software components used in model preparation and CAE preprocessing workflows.
  • Working knowledge of CAE workflows including model preparation, geometry handoff, solver readiness, simulation preprocessing, and customer-driven usability requirements.
  • Experience with CAD/CAE products or meshing platforms such as MSC Apex, Patran, ANSA, HyperMesh, SimLab, ICEM CFD, Pointwise, Gmsh, or equivalent technologies.
  • Ability to guide architecture and implementation decisions while balancing innovation, quality, performance, robustness, maintainability, and delivery commitments.
  • Familiarity with scripting, automation, build systems, debugging tools, profiling tools, and engineering productivity practices.
  • Experience mentoring engineers, reviewing complex designs, and influencing technical direction across teams without direct people-management responsibility.
  • Practical experience using AI-assisted software development tools such as GitHub Copilot, Cursor, or similar tools to improve coding productivity, code review efficiency, documentation, and engineering workflows.
  • Strong proficiency in C++ for high-performance meshing, CAE, simulation, or scientific computing applications.
  • Deep understanding of meshing algorithms, including triangulation, quadrilateral meshing, tetrahedral meshing, hexahedral meshing concepts, surface discretization, volume discretization, and mesh optimization.
  • Hands-on experience with mesh quality metrics, element validity, aspect ratio, skewness, warpage, Jacobian checks, smoothing, refinement, coarsening, and repair workflows.
  • Experience working with geometry-to-mesh workflows, boundary representation inputs, geometry cleanup dependencies, feature preservation, defeaturing impacts, and mesh associativity.
  • Ability to design robust meshing APIs, reusable software components, scalable mesh data structures, and algorithms for large assemblies and complex CAE models.
  • Strong debugging and diagnostic skills for resolving mesh generation failures, poor-quality elements, numerical robustness issues, and customer workflow failures.
  • Experience optimizing meshing operations for performance, memory usage, scalability, and responsiveness in large models and automated preprocessing workflows.
  • Familiarity with automated testing strategies for meshing algorithms, including regression tests, mesh quality validation, stress cases, benchmark models, and customer model validation.
  • Working knowledge of Python or scripting tools for automation, diagnostics, workflow prototyping, mesh validation, and engineering productivity.
  • Strong communication and collaboration skills.
  • Problem-solving and analytical thinking.
  • Ability to work independently and in a team environment.
  • Strong organizational and time-management skills.

Responsibilities

  • Architect, design, and develop advanced meshing capabilities for CAE products, ensuring robustness, scalability, performance, and maintainability.
  • Provide technical leadership for surface meshing, volume meshing, mesh quality improvement, sizing controls, boundary layer concepts, mesh cleanup, and CAE preprocessing workflows.
  • Serve as a senior technical authority for design reviews, feasibility analysis, risk assessment, debugging, performance optimization, and long-term architecture decisions.
  • Collaborate with product management, architecture, QA, program management, and engineering teams to translate customer workflow needs into actionable technical solutions.
  • Guide and mentor engineers on meshing algorithms, design patterns, code quality, testing strategy, and engineering best practices.
  • Investigate complex meshing defects, mesh quality problems, performance bottlenecks, and customer-reported workflow issues, driving them to resolution.
  • Contribute to technical roadmaps and communicate design tradeoffs, technical risks, and implementation plans clearly to stakeholders and leadership.

Desired Qualifications

  • Python experience is preferred.

About the Company

Cadence Design Systems

Develops EDA software, IP, verification tools

Cadence Design Systems supplies software, hardware, and IP for electronic design automation (EDA) to help customers create advanced semiconductor chips and electronic systems. Its tools handle system design, verification, digital and analog IC design, and custom flows, while IP such as Tensilica processors and DSP cores can be licensed for integration into customer products. The offerings are delivered as software licenses with maintenance and support, plus IP licensing and occasional hardware-accelerated options. The company differentiates itself with a broad, end-to-end EDA portfolio and close collaboration with industry leaders to streamline the path from concept to silicon, aiming to help customers bring sophisticated silicon and electronics to market faster with lower risk and higher productivity.

Company size
10,001+
Company stage
IPO
Headquarters
San Jose, CA
Founded
1988

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