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Graduate Student Intern - Software Engineering

Cadence Design Systems Inc

Austin, Texas • Today

Part-time

Software Engineering Intern, 2027

Allen Control Systems

Austin, Texas • Today

Full-time

Software Engineer Intern - Summer 2027

CACI International, Inc.

Austin, Texas • 17d ago

Part-time

USD 43,900.00 - 87,900.00 per year

2027 Undergrad Software Engineer Intern/Co-op

AMD (Advanced Micro Devices)

Austin, Texas • Today

Full-time

USD 60,320.00 per year

Software Engineer Intern

Accuity

Remote or Sheboygan, Wisconsin • Today

Part-time

USD 23.00 per hour

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
Problem Solving
Conflict Resolution
Collaboration
Communication
Artificial Intelligence
Deep Learning
Generative Artificial Intelligence (AI)
Modeling
Research
Computer Graphics
Computational Science
Data Analysis
EDA
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
Problem Solving
Conflict Resolution
Collaboration
Communication
Artificial Intelligence
Deep Learning
Generative Artificial Intelligence (AI)
Modeling
Research
Computer Graphics
Computational Science
Data Analysis
EDA
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: 4ab2743fd0151e53e20fe5035f8bc044
Posted 30+ days ago

Fitment

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Austin, Texas

•

Today

ADVANCE YOUR CAREER. ADVANCE THE WORLD. At AMD, we believe technology has the power to solve the world's most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMD is shaping the future. Whether you're designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger - technology that moves the world forward. Joi

Full-time

USD 99,840.00 per year

CAD Engineer - AI Trainer

Remote or Texas

•

Today

About the role Help train and evaluate AI agents that work inside a real CAD environment on long engineering tasks, work that would take an expert 10-15 hours. You'll design part geometry, build reference solutions, and judge the agent's attempts. You'll work alongside CFD engineers who simulate the geometry you build. Requirements A degree in Mechanical or Aerospace Engineering, or a related field. A Master's or PhD is a plus.5+ years of professional, hands-on CAD modelling (CATIA, SolidWorks,

Part-time

USD 69.00 per hour

CAD Engineer - AI Trainer

Remote or Michigan

•

Today

Part-time

USD 69.00 per hour

CAD Engineer - AI Trainer

Remote or South Carolina

•

Today

Part-time

USD 69.00 per hour

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
Problem Solving
Conflict Resolution
Collaboration
Communication
Artificial Intelligence
Deep Learning
Generative Artificial Intelligence (AI)
Modeling
Research
Computer Graphics
Computational Science
Data Analysis
EDA
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
Problem Solving
Conflict Resolution
Collaboration
Communication
Artificial Intelligence
Deep Learning
Generative Artificial Intelligence (AI)
Modeling
Research
Computer Graphics
Computational Science
Data Analysis
EDA
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.

Dice Id: CADENCE
Position Id: 4ab2743fd0151e53e20fe5035f8bc044
Posted 30+ days ago

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Austin, Texas

•

Today

Full-time

USD 99,840.00 per year

CAD Engineer - AI Trainer

Remote or Texas

•

Today

Part-time

USD 69.00 per hour

CAD Engineer - AI Trainer

Remote or Michigan

•

Today

Part-time

USD 69.00 per hour

CAD Engineer - AI Trainer

Remote or South Carolina

•

Today

Part-time

USD 69.00 per hour

Graduate Student Intern - Software Engineering

Skills

Summary

Dice Job Match Score™

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Graduate Student Intern - Software Engineering

Job Details

Skills

Summary

Dice Job Match Score™

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