Lead Software Engineer (Postprocessing)

What You'll Do

• Design, develop, and maintain CAE post-processing capabilities for engineering simulation products, with focus on result accuracy, performance, robustness, usability, and maintainability. • Contribute to workflows for solver result reading, result case management, contour plots, XY plotting, animation, result probing, min/max extraction, derived result calculations, result comparison, and report generation. • Implement and enhance support for scalar, vector, tensor, transient, modal, frequency-domain, and load-step-based result data. • Participate in design reviews, feasibility analysis, debugging, performance tuning, and implementation planning for assigned post-processing components. • Investigate result interpretation issues, plotting errors, result synchronization problems, solver output discrepancies, performance bottlenecks, and customer-reported post-processing issues.
• 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 • 8+ years of software engineering experience delivering commercial or enterprise engineering software, preferably in CAE, simulation results, post-processing, scientific computing, or data-intensive engineering domains. • Strong experience in CAE post-processing workflows, including solver result interpretation, result case management, contouring, XY plotting, animation, result probing, visual result comparison, and report generation. • Good understanding of CAE results data structures, result cases, load steps, time steps, modes, scalar/vector/tensor data, coordinate systems, units, result transformations, and result metadata. • Hands-on experience implementing post-processing workflows such as contouring, XY plotting, animations, result probing, min/max extraction, derived result calculations, result comparison, report generation, or automated post-processing. • Strong background in C++ software development for engineering, scientific, CAE, post-processing, visualization, or data-intensive desktop applications. • Experience developing production-quality solver result readers, result data models, plotting, reporting, validation, or post-processing components. • Working knowledge of solver output formats, transient and frequency-domain results, scalar/vector/tensor result handling, result transformations, units, coordinate systems, and customer-driven usability requirements. • Experience with CAE products or simulation platforms such as MSC Apex, Patran, Adams, Nastran, Marc, Abaqus, ANSYS, HyperWorks, ParaView, Tecplot, or equivalent technologies is preferred. • 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 CAE post-processing, solver output interpretation, scientific computing, visualization, or data-intensive engineering applications. • Practical experience with CAE result concepts, including result cases, load steps, time steps, modes, scalar/vector/tensor quantities, coordinate systems, units, transformations, averaging, extrapolation, and derived results. • Hands-on experience implementing post-processing features such as contouring, XY plotting, animation, result probing, min/max extraction, envelope calculations, result comparison, report generation, or automated validation workflows. • Working knowledge of visualization frameworks such as VTK, OGRE, OpenGL, ParaView, Tecplot, Qt graphics/view frameworks, or equivalent technologies used to present simulation results. • Hands-on development experience on Windows and Linux platforms, including platform-specific debugging, build, deployment, runtime diagnostics, and performance analysis. • Strong debugging skills using tools such as Visual Studio Debugger, GDB, LLDB, core dump analysis, crash dump analysis, stack traces, logging frameworks, and diagnostic instrumentation. • Familiarity with automated testing strategies for post-processing workflows using Python, including regression tests, numerical result validation, visualization baselines, solver result comparison, benchmark models, and customer model validation.
• 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.