Graduate Student Intern - Software Engineering

Cadence Design Systems
Austin
Workplace: OnsitePart timeFunction: Software EngineeringSkills: ["Analytical","Problem-solving","Collaboration","Communication","Curiosity"]

Intern to explore and apply AI/ML methods—such as LLMs, GenAI, and GNNs—to geometry, mesh, and graph-structured engineering data. You’ll research AI-driven geometry modeling, mesh generation, and topology optimization, prototype and evaluate AI-assisted workflows for automating geometry creation and simulation preparation. Working with researchers and engineers, you’ll integrate AI into engineering/physics applications and analyze results to improve robustness, performance, and reduce manual modeling effort.

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Cadence Design Systems
Cadence Design Systems
1 week ago

Graduate Student Intern - Software Engineering

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Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live
Reposted: similar role first listed 6 months ago

Job Summary

Intern to explore and apply AI/ML methods—such as LLMs, GenAI, and GNNs—to geometry, mesh, and graph-structured engineering data. You’ll research AI-driven geometry modeling, mesh generation, and topology optimization, prototype and evaluate AI-assisted workflows for automating geometry creation and simulation preparation. Working with researchers and engineers, you’ll integrate AI into engineering/physics applications and analyze results to improve robustness, performance, and reduce manual modeling effort.
Location: Austin
Workplace: Onsite
Employment Type: Part time
Job Function: Software Engineering
Seniority: Intern level

Key Responsibilities

  • •Apply AI/ML techniques (LLMs, GenAI, GNNs) to geometry, mesh, and graph-structured engineering data.
  • •Research AI-driven methods for geometry modeling, mesh generation, and topology optimization workflows.
  • •Prototype and evaluate AI-assisted approaches to automate geometry creation and simulation model preparation.
  • •Collaborate with researchers and engineers to integrate AI 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.

Key Requirements

  • •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.
  • •Experience with software development practices including debugging, testing, and version control.
  • •Analytical, problem-solving, collaboration, and communication skills, with curiosity for applying AI to engineering problems.
Experience:AI/MLComputer graphicsSimulationScientific computing
Education:
Skills:AnalyticalProblem-solvingCollaborationCommunicationCuriosity
Tech Stack:C/C++PythonPyTorchTensorFlow

Company Brief

Cadence Design Systems
Provides electronic design automation (EDA) software, IP, and services for semiconductor and systems companies to design, verify, and implement integrated circuits, systems-on-chip, and electronic systems across industries including communications, automotive, and consumer electronics.
Industry: Developer Tools
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Jose, United States
Founded: 1988
Glassdoor
Glassdoor: 3.9
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