Graduate Student Intern - Software Engineering
About this role
At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.
Responsibilities
- Explore and apply AI/ML techniques, including Large Language Models (LLMs), generative AI (GenAI), and Graph Neural Networks (GNNs), to geometry, mesh, and graph-structured engineering data.
- Research and develop AI-driven approaches for geometry modeling, mesh generation, and topology optimization workflows.
- Prototype and evaluate AI-assisted methods for automating geometry creation and simulation model preparation.
- Work with researchers and engineers to integrate AI technologies into engineering and physics-based applications, including thermal and structural simulation.
- Analyze experimental results and improve the quality, robustness, and performance of AI-generated geometry and mesh models.
- Investigate methods to reduce manual modeling effort and accelerate design and simulation workflows through AI automation.
- Contribute to technical discussions, documentation, research reports, and prototype software development.
Basic Qualifications
- Currently pursuing a Master's degree or PhD in Computer Science, Engineering, Applied Mathematics, or a related field.
- Strong foundation in data structures, algorithms, and software engineering principles.
- Programming experience in C/C++ and Python.
- Familiarity with software development practices, including debugging, testing, and version control.
- Strong analytical, problem-solving, collaboration, and communication skills.
- Curiosity and enthusiasm for applying AI technologies to engineering problems.
Preferred Qualifications
- Experience with AI/ML, including deep learning, LLMs, GenAI, or GNNs.
- Familiarity with geometric modeling, mesh generation, retopology, computational geometry, or graph-based representations.
- Coursework or research experience in computer graphics, computer-aided engineering (CAE), scientific computing, or simulation.
- Exposure to CAD, CAE, EDA, or simulation-driven design applications.
- Interest in topology optimization, geometry processing, performance optimization, parallel computing, or GPU acceleration.
- Experience with machine learning frameworks such as PyTorch, TensorFlow, or similar tools.
We’re doing work that matters. Help us solve what others can’t.
Frequently Asked Questions
Is the salary disclosed for the Graduate Student Intern - Software Engineering position at cadence?
The salary for this Graduate Student Intern - Software Engineering role at cadence is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Graduate Student Intern - Software Engineering position at cadence located?
This Graduate Student Intern - Software Engineering role at cadence is based in AUSTIN. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the Graduate Student Intern - Software Engineering role at cadence full-time or part-time?
This is listed as a Part time position. It is posted as a Graduate Student Intern - Software Engineering role at cadence.
How do I apply for the Graduate Student Intern - Software Engineering position at cadence?
Click the "Apply Now" button on this page. You will be redirected to cadence's official application portal hosted on workday where you can submit your application directly.
When was the Graduate Student Intern - Software Engineering job at cadence posted?
This Graduate Student Intern - Software Engineering position at cadence was posted on Sep 21, 2026. Apply as soon as possible — early applications are often reviewed first.
Graduate Student Intern - Software Engineering
cadence
You'll be redirected to cadence's official application page on Workday.