We are building next-generation AI-accelerated simulation technologies for Electro-Thermal, Electromagnetic, and Structural analysis. As a Software Engineer, you will take ownership of key components of the platform across the full stack, from desktop application development to AI model training and inference workflows. You will work at the intersection of scientific computing, machine learning, and 3D visualization. The main job responsibility includes:
- Design, develop, and maintain features across the C++ desktop application and Python-based APIs.
- Build and enhance scalable ML pipelines for data generation, training, evaluation, and inference.
- Develop AI-powered workflows for simulation acceleration and optimization.
- Implement and maintain cross-platform software on Linux and Windows.
- Collaborate with simulation, ML, and application engineers to deliver end-to-end solutions.
- Contribute to software architecture, code quality, testing, and performance optimization.
Required Qualifications
- MS degree or higher in Computer Science, Engineering, Applied Mathematics, or a related discipline.
- 1–3 years of software development experience.
- Strong programming skills in both C++ and Python, Experience with Qt or a comparable desktop UI framework.
- Experience developing and maintaining cross-platform applications on Linux and Windows.
- Familiarity with modern machine learning frameworks such as PyTorch or TensorFlow.
- Experience with 3D geometry processing, mesh handling, or scientific/3D visualization.
- Knowledge of thermal, electromagnetic, electrical, or related engineering simulation domains.
Preferred Qualifications
- Experience developing scientific computing or CAD/EDA applications.
- Familiarity with finite element methods (FEM), computational physics, or PDE-based simulations.
- Experience deploying machine learning models into production environments.
- Knowledge of GPU programming, high-performance computing, or distributed training.
- Experience with modern software engineering practices, testing frameworks, and workflows.
- Understanding of surrogate modeling, physics-informed machine learning, or AI for engineering applications.
Skills Required
- MS degree or higher in Computer Science, Engineering, Applied Mathematics, or a related discipline
- 1-3 years of software development experience
- Strong programming skills in C++ and Python
- Experience with Qt or a comparable desktop UI framework
- Experience developing and maintaining cross-platform applications on Linux and Windows
- Familiarity with machine learning frameworks such as PyTorch or TensorFlow
- Experience with 3D geometry processing, mesh handling, or scientific/3D visualization
- Knowledge of thermal, electromagnetic, electrical, or related engineering simulation domains
- Experience developing scientific computing or CAD/EDA applications
- Familiarity with finite element methods, computational physics, or PDE-based simulations
- Experience deploying machine learning models into production environments
- Knowledge of GPU programming, high-performance computing, or distributed training
- Experience with modern software engineering practices, testing frameworks, and workflows
- Understanding of surrogate modeling, physics-informed machine learning, or AI for engineering applications
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.
-
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.
-
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.
-
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.
