Software Engineer II (Preprocessing)

What You'll Do

• Develop, test, debug, and maintain CAE pre-processing features for engineering simulation products under the guidance of senior engineers. • Contribute to model setup workflows involving entity organization, materials, properties, loads, boundary conditions, connections, coordinate systems, units, and solver-specific preparation. • Participate in design discussions, code reviews, defect analysis, testing, and performance improvement activities. • Collaborate with senior engineers, QA, product management, and other team members to understand requirements and implement practical technical solutions. • Write clear, maintainable code and unit tests while following established design patterns, coding standards, and development processes. • Investigate and resolve assigned workflow defects, solver setup issues, validation failures, data consistency problems, and customer-reported issues with appropriate guidance. • Document designs and implementation details, communicate progress and risks, and continuously build knowledge of CAE workflows and software engineering practices.
• 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 • Bachelor’s degree with approximately 2–4 years of relevant software engineering experience, or a relevant master’s degree with little to no professional experience. • Foundational understanding of object-oriented programming, data structures, algorithms, and software development principles. • Academic or project experience developing software in C++, preferably for engineering, scientific, simulation, or data-intensive applications. • Exposure to CAE, finite element analysis, simulation workflows, computational mechanics, or scientific computing through coursework, research, or projects. • Basic familiarity with model preparation concepts such as materials, properties, loads, boundary conditions, coordinate systems, connections, and solver inputs is preferred but not required. • Exposure to CAE products or simulation platforms such as MSC Apex, Patran, Adams, Nastran, Marc, Abaqus, ANSYS, HyperWorks, or equivalent technologies is a plus. • Demonstrated ability to learn new technologies, troubleshoot technical problems, incorporate feedback, and work effectively within an engineering team. • Familiarity with AI-assisted software development tools such as GitHub Copilot, Cursor, or similar tools is desirable.
• Technical Skills • Working knowledge of C++ and object-oriented programming, with the ability to write, test, and debug clear and maintainable code. • Familiarity with software development on Windows or Linux; exposure to both platforms is preferred. • Basic understanding of engineering data structures, entity relationships, attributes, materials, properties, sets, groups, coordinate systems, units, or similar domain concepts. • Exposure through coursework or projects to loads, boundary conditions, constraints, contacts, connections, assemblies, part organization, or solver case definitions is beneficial. • Understanding of software validation, input checking, data consistency, error handling, and user-focused diagnostic messages. • Basic debugging skills using an integrated development environment such as Visual Studio or comparable tools, including breakpoints, stack traces, logs, and crash diagnostics. • Awareness of memory management, performance considerations, and concurrency concepts in C++ applications. • Ability to contribute to existing APIs, software components, and workflow services by following established designs and coding standards. • Familiarity with source control, build processes, code reviews, unit testing, and defect-tracking practices. • Understanding of automated testing concepts, including unit, regression, and data-validation tests. • Working knowledge of Python or another scripting language for automation, prototyping, validation, or log analysis is desirable.
• 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.