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Position Summary We are seeking a highly motivated Sr. Software Engineering Manager to lead the Geometry and Meshing teams within the Apex organization. This role will own the technical direction, execution, and delivery of core geometry and meshing capabilities, including CAD model preparation, geometry cleanup, defeaturing, mesh generation, mesh quality, and CAE preprocessing workflows. The successful candidate will guide architecture and technical decisions, collaborate closely with product, QA, and global engineering teams, and ensure high-quality, scalable, and maintainable software releases that directly support Apex product strategy and customer simulation workflows. Key Responsibilities • Lead and execute R&D initiatives for geometry and meshing. • Collaborate with various internal and external teams to deliver key projects • Contribute technically to the development of geometry and meshing features in MSC Apex and support other projects. • Troubleshoot and resolve technical or operational issues. • Drive process improvements and best practices. • Mentor junior team members and contribute to team growth. • Participate in weekly technical discussions and provide feasibility analysis or concerns Required Qualifications Education • Bachelors or Masters in Computer Aided Design/Mechanical engineering or related engineering domains Experience • 20+ years of experience in the Software Industry with experience in managing Geometry and/or Meshing Domains in R&D • Strong background in computational geometry, CAD modeling, and geometry kernels such as Parasolid, ACIS, or equivalent. • Practical understanding of mesh generation, mesh quality, surface/solid meshing, defeaturing, cleanup, and CAE preprocessing workflows. • Experience with CAD/CAE products such as MSC Apex, Patran, ANSA, CATIA, SolidWorks, NX, or similar tools. • Awareness of customer workflows in simulation, preprocessing, model preparation, and downstream solver integration. • Ability to guide architecture and technical decisions for geometry and meshing components. • Strong hands-on background in C++, preferably with experience in large-scale engineering or scientific software. • Familiarity with scripting and automation using Python. • Experience reviewing designs, identifying technical risks, and driving feasibility analysis. • Ability to balance innovation, product quality, performance, maintainability, and release commitments. • 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. Soft Skills • Strong leadership skills with the ability to mentor engineers, set expectations, provide feedback, and build a high-performing delivery-focused team. • Excellent communication skills for working with engineering teams, product stakeholders, QA, program management, and senior leadership. • Strong analytical and problem-solving skills, with the ability to make practical decisions under technical and schedule constraints. • Ability to drive accountability, remove execution blockers, and maintain focus on predictable, high-quality delivery. • Collaborative mindset with the ability to influence across teams and build alignment around technical priorities and delivery commitments.N/A

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