Skills Required
- Bachelor's or Master's degree in Computer Science, Mechanical Engineering, Computational Engineering, Computer-Aided Engineering, Applied Mathematics, or a related engineering discipline
- 12+ years of software engineering experience delivering commercial or enterprise engineering software
- 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 engineering, scientific, CAE, or data-intensive desktop applications
- Experience designing robust data models, workflow services, validation frameworks, solver interfaces, and production-quality software components for 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
- Hands-on development experience on both Windows and Linux platforms
- 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 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 Valgrind, AddressSanitizer, ThreadSanitizer, UndefinedBehaviorSanitizer, Intel VTune, Windows Performance Analyzer, Linux perf, or similar tools
- Ability to design robust APIs, reusable software components, scalable data services, and extensible workflow frameworks
- Experience optimizing pre-processing operations for performance, memory usage, scalability, and responsiveness
- 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
Cadence Design Systems Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cadence Design Systems and has not been reviewed or approved by Cadence Design Systems.
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Equity Value & Accessibility — A discounted ESPP with a lookback feature and equity included in total compensation make ownership broadly accessible and potentially meaningful. Structured compensation at an industry leader adds predictability to equity participation.
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Healthcare Strength — Medical, dental, and vision coverage are described as solid, with mental‑health/EAP and fertility support enhancing the offering. The breadth across core care and family‑building needs strengthens the healthcare package.
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Leave & Time Off Breadth — Global Recharge Days, volunteer time off, and companywide breaks indicate a comprehensive time‑off framework. In addition, many salaried roles are described as having flexible or generous PTO policies.
Cadence Design Systems Insights
What We Do
Cadence enables electronic systems and semiconductor companies to create the innovative end products that are transforming the way people live, work and play. Cadence® software, hardware and IP are used by customers to deliver products to market faster. The company's Intelligent System Design strategy helps customers develop differentiated products—from chips to boards to intelligent systems—in mobile, consumer, cloud, data center, automotive, aerospace, IoT, industrial and other market segments. Cadence is listed as one of Fortune Magazine's 100 Best Companies to Work For.








