Lead Software Engineer (Preprocessing)

leadership for model setup workflows, entity organization, materials, properties, loads, boundary conditions, connections, coordinate systems, units, and solver-specific preparation. - 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 CAE data models, solver workflow concepts, design patterns, code quality, testing strategy, and engineering best practices. - Investigate complex workflow defects, solver setup issues, validation failures, data consistency problems, performance bottlenecks, and customer-reported pre-processing 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, simulation, solver workflow, or scientific computing domains. - Deep expertise in CAE pre-processing workflows, including model organization, entity management, materials, properties, loads, boundary conditions, connections, contact definitions, coordinate systems, and solver setup. - Strong background in C++ software development for large-scale engineering, scientific, CAE, or data-intensive desktop applications. - Experience designing and implementing robust data models, workflow services, validation frameworks, solver interfaces, and production-quality software components used in CAE model preparation. - Working knowledge of solver input preparation, solver deck generation, model validation, result readiness checks, and customer-driven usability requirements. - Experience with CAE products or simulation platforms such as MSC Apex, Patran, Adams, Nastran, Marc, Abaqus, ANSYS, HyperWorks, or equivalent technologies. - Ability to guide architecture and implementation decisions while balancing innovation, quality, performance, robustness, maintainability, and delivery 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. Technical Skills - Strong proficiency in C++ for high-performance CAE pre-processing, simulation workflow, solver setup, or scientific computing applications. - Hands-on development experience on both Windows and Linux platforms, including platform-specific debugging, build, deployment, and runtime diagnostics. - Deep understanding of CAE model data structures, entity relationships, attributes, materials, properties, sets, groups, coordinate systems, units, and solver-specific abstractions. - Hands-on experience implementing workflows for loads, boundary conditions, constraints, contacts, connections, assemblies, part organization, and solver case definitions. - Experience building validation frameworks, dependency checks, data consistency rules, error reporting, and user guidance for simulation model readiness. - Strong debugging skills using tools such as Visual Studio Debugger, WinDbg, GDB, LLDB, core dump analysis, crash dump analysis, stack traces, logging frameworks, and diagnostic instrumentation. - Experience with memory, performance, and concurrency diagnostics using tools such as Valgrind, AddressSanitizer, ThreadSanitizer, UndefinedBehaviorSanitizer, Intel VTune, Windows Performance Analyzer, Linux perf, and similar profiling tools. - Ability to design robust APIs, reusable software components, scalable data services, and extensible workflow frameworks for complex engineering models. - Experience optimizing pre-processing operations for performance, memory usage, scalability, and responsiveness in large simulation models and automated workflows. - Familiarity with automated testing strategies for CAE workflows, including regression tests, data validation, solver export comparison, benchmark models, and customer model validation. - Working knowledge of Python or scripting tools for automation, diagnostics, workflow prototyping, validation, log analysis, 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.

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