7 дней назад
Graduate Student Intern - Software Engineering (AI/ML)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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.
- 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.
- 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.
- Part-time graduate student internship.
- Collaboration with researchers and engineers on technology-focused projects.
Requirements
Nice to have
Culture & Benefits
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →
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