Principal Software Engineer (Meshing)

What You'll Do

• 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.
• Required Qualifications Education • Bachelor’s or Master’s degree in Computer Science, Mechanical Engineering, Computational Engineering, Computer-Aided Engineering, Applied Mathematics, or a related engineering discipline.
• Experience • 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; 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 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.
• Soft Skills • 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.N/A We’re doing work that matters.
• Help us solve what others can’t.