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C++/Python Software Engineer

Cadence

Skills

Required

  • C++
  • Python
  • software development
  • programming
  • Qt
  • desktop UI
  • Linux
  • Windows
  • modern machine learning frameworks
  • PyTorch / TensorFlow
  • 3D geometry processing / mesh handling / scientific/3D visualization
  • thermal

Preferred

  • scientific computing / CAD/EDA
  • finite element methods
  • FEM
  • computational physics / PDE-based simulations
  • machine learning
  • GPU programming / high-performance computing / distributed training
  • testing frameworks
  • workflows
  • AI

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology. We are building next-generation AI-accelerated simulation technologies for Electro-Thermal, Electromagnetic, and Structural analysis.

About Cadence

Help us solve what others can’t.

Responsibilities

  • 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.
  • 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.

Requirements

  • 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

  • Qualification s 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.
  • We’re doing work that matters.

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