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Cadence Design Systems

Develops EDA software, IP, verification tools

Principal Software Engineer - Geometry

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

About the Job

Requirements

  • A bachelor's or master's degree in Computer Science, Mechanical Engineering, Computational Geometry, Computer-Aided Design, Computer-Aided Engineering, or a related engineering discipline.
  • 12+ years of software engineering experience delivering commercial or enterprise engineering software, preferably in CAD, CAE, geometry, or simulation domains.
  • Deep expertise in computational geometry, topology, CAD modeling concepts, geometry kernels, B-rep data structures, geometry cleanup, healing, defeaturing, and interoperability workflows.
  • A strong background in C++ software development for large-scale engineering, scientific, CAD, CAE, or geometry-intensive applications.
  • Experience designing and implementing robust geometry algorithms and production-quality software components used in model preparation and CAE preprocessing workflows.
  • Working knowledge of CAE workflows, including model preparation, meshing handoff, solver readiness, simulation preprocessing, and customer-driven usability requirements.
  • Experience with CAD/CAE products or geometry platforms such as MSC Apex, Patran, ANSA, CATIA, SolidWorks, NX, Parasolid, ACIS, Open Cascade, 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 geometry, CAD, CAE, or scientific computing applications.
  • Deep understanding of computational geometry algorithms, including intersection, projection, trimming, tolerance handling, curve and surface evaluation, spatial search, and proximity calculations.
  • Hands-on experience with B-rep topology, geometry kernels, feature recognition, defeaturing, geometry cleanup, healing, and topology repair workflows.
  • Experience working with CAD data translation, interoperability, and neutral formats such as STEP, IGES, Parasolid, ACIS, or equivalent geometry representations.
  • Ability to design robust geometry APIs, reusable software components, and scalable data structures for complex engineering models.
  • Strong debugging and diagnostic skills for resolving geometric robustness issues, numerical precision problems, and customer workflow failures.
  • Experience optimizing geometry operations for performance, memory usage, scalability, and responsiveness in large assemblies and complex CAE models.
  • Familiarity with automated testing strategies for geometry algorithms, including regression tests, tolerance-based validation, stress cases, and customer model validation.
  • Working knowledge of Python or scripting tools for automation, diagnostics, workflow prototyping, 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 Geometry capabilities for CAE products, ensuring robustness, scalability, performance, and maintainability.
  • Provide technical leadership for geometry modeling, defeaturing, cleanup, healing, interoperability, topology handling, 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 geometry algorithms, design patterns, code quality, testing strategy, and engineering best practices.
  • Investigate complex geometry defects, interoperability issues, performance bottlenecks, and customer-reported workflow problems, driving them to resolution.
  • Contribute to technical roadmaps and communicate design tradeoffs, technical risks, and implementation plans 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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