Principal Software Engineer (Geometry)
- Location
- HOME, China
- Employment
- Full Time
- Work model
- On-Site
- Level
- Principal
- H-1B history
- 77 approvals (FY2023)
- Posted
Skills
About this role
At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology. Position Summary We are seeking a Principal Software Engineer to provide deep technical leadership in the Geometry domain for MSC Apex. This role is responsible for designing, developing, and guiding advanced geometry capabilities used in CAE preprocessing, model preparation, defeaturing, geometry cleanup, healing, interoperability, and downstream simulation workflows. The successful candidate will act as a senior individual contributor and technical authority, partnering across engineering, architecture, QA, and product teams to deliver robust, scalable, and maintainable geometry solutions aligned with customer and product needs. Key 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 clearly to stakeholders and leadership. Required Qualifications Education • Bachelor’s or Master’s degree in Computer Science, Mechanical Engineering, Computational Geometry, Computer-Aided Design, Computer-Aided Engineering, or a related engineering discipline. Experience • 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. • 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; Python experience is preferred. • 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. Technical Skills • Strong proficiency in C++ for high-performance geometry, CAD, CAE, or scientific computing applications. • Deep understanding of