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Graduate Student Intern - Software Engineering

Austin, TX, US • Posted 18 hours ago • Updated 5 hours ago

Part Time

On-site

Fitment

Dice Job Match Score™

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Job Details

Skills

Cadence
Large Language Models (LLMs)
Physics
Workflow
Documentation
Computer Science
Applied Mathematics
Data Structure
Algorithms
Software Engineering
C
C++
Python
Software Development
Debugging
Testing
Version Control
Analytical Skill
Conflict Resolution
Problem Solving
Collaboration
Communication
Artificial Intelligence
Deep Learning
Generative Artificial Intelligence (AI)
Modeling
Research
Computer Graphics
Computational Science
EDA
Data Analysis
Optimization
Performance Tuning
Parallel Computing
GPU
Machine Learning (ML)
PyTorch
TensorFlow

Cadence
Large Language Models (LLMs)
Physics
Workflow
Documentation
Computer Science
Applied Mathematics
Data Structure
Algorithms
Software Engineering
C
C++
Python
Software Development
Debugging
Testing
Version Control
Analytical Skill
Conflict Resolution
Problem Solving
Collaboration
Communication
Artificial Intelligence
Deep Learning
Generative Artificial Intelligence (AI)
Modeling
Research
Computer Graphics
Computational Science
EDA
Data Analysis
Optimization
Performance Tuning
Parallel Computing
GPU
Machine Learning (ML)
PyTorch
TensorFlow

Summary

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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: CADENCE
Position Id: e68ef3afa7948e661743ef457e7ba25e
Posted 18 hours ago

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