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7 дней назад

Graduate Student Intern - Software Engineering (AI/ML)

Формат работы
onsite
Тип работы
parttime
Грейд
trainee
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Graduate Student Intern - Software Engineering (AI/ML) (AI/ML, geometry and simulation): Developing AI-driven methods for geometry modeling, mesh generation, topology optimization, and simulation model preparation with an accent on LLMs, GenAI, GNNs, and engineering data. Focus on prototyping geometry automation, analyzing AI-generated models, and integrating AI technologies into thermal and structural simulation workflows.

Location: Austin, United States

Company

hirify.global develops technology solutions involving engineering and physics-based applications.

What you will do

  • Apply AI/ML techniques, including LLMs, GenAI, and GNNs, to geometry, mesh, and graph-structured engineering data.
  • Research and prototype AI-driven approaches for geometry modeling, mesh generation, topology optimization, and simulation model preparation.
  • 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.
  • Develop prototype software and contribute to technical discussions, documentation, and research reports.
  • 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.
    • Familiarity with debugging, testing, and version control.
    • Strong analytical, problem-solving, collaboration, and communication skills.

    Nice to have

    • Experience with AI/ML, deep learning, LLMs, GenAI, or GNNs.
    • Knowledge of geometric modeling, mesh generation, retopology, computational geometry, or graph-based representations.
    • Coursework or research experience in computer graphics, CAE, scientific computing, or simulation.
    • Experience with machine learning frameworks such as PyTorch or TensorFlow.
    • Interest in topology optimization, performance optimization, parallel computing, or GPU acceleration.

    Culture & Benefits

    • Part-time graduate student internship.
    • Collaboration with researchers and engineers on technology-focused projects.

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