Graduate Student Intern - Software Engineering

TL;DR

Graduate Student Intern - Software Engineering (AI/ML): Exploring and applying AI/ML techniques to graph- or mesh-structured engineering data and developing AI-driven approaches for simulation. With an accent on Graph Neural Networks and physics-based applications. Focus on prototyping, testing, and evaluating AI models in simulation workflows and improving model accuracy and performance.

Location: Onsite in Austin, United States

Company

hirify.global hires and develops leaders and innovators who want to make an impact on the world of technology.

What you will do

• Explore and apply AI/ML techniques, including Graph Neural Networks (GNNs), to graph- or mesh-structured engineering data.
• Assist in developing AI-driven approaches for engineering and physics-based applications, such as thermal and structural simulation.
• Work with researchers and engineers to prototype, test, and evaluate AI models in simulation workflows.
• Analyze experimental results and help improve model accuracy and performance.
• Contribute to technical discussions, documentation, and research or prototype code.

Requirements

• Currently pursuing a Master’s degree or PhD in Computer Science, Engineering, or a related field.
• Strong foundation in data structures and algorithms.
• Programming experience in C/C++ and Python.
• Familiarity with basic software development practices (debugging, version control).
• Strong collaboration skills, curiosity, and motivation to learn.

Nice to have

• Familiarity with mesh-based data structures or graph representations.
• Coursework or project experience related to AI/ML.
• Experience using GNNs for mesh- or graph-based engineering and simulation problems.
• Exposure to EDA, CAD/CAE, or other simulation-based domains.
• Interest in performance optimization, parallel computing, or GPU acceleration.
• Experience with ML frameworks (e.g., PyTorch, TensorFlow).

Culture & Benefits

• Work on impactful projects that matter, helping to solve what others can't.