Graduate Student Intern - Software Engineering
Cadence SystemsAustin, Texas
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Overview
Schedule
Full-time
Career level
Senior-level
Remote
On-site
Benefits
Career Development
Job Description
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.
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FAQs About Graduate Student Intern - Software Engineering Jobs at Cadence Systems
What is the work location for this position at Cadence Systems?
This job at Cadence Systems is located in Austin, Texas, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at Cadence Systems?
Employer has not shared pay details for this role.
What employment applies to this position at Cadence Systems?
Cadence Systems lists this role as a Full-time position.
What experience level is required for this role at Cadence Systems?
Cadence Systems is looking for a candidate with "Senior-level" experience level.
What benefits are offered by Cadence Systems for this role?
Cadence Systems offers Career Development for this position. Actual benefits may vary depending on the employer's policies and employment terms.
What is the process to apply for this position at Cadence Systems?
You can apply for this role at Cadence Systems either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.