Graduate Student Intern - Software Engineering
Core
Research and develop AI-driven approaches for geometry modeling, mesh generation, and topology optimization workflows using LLMs, GenAI, and GNNs.
Role type
Graduate Student Intern - Software Engineering (AI/ML Research)
Builds
AI-assisted methods for automating geometry creation and simulation model preparation
Domain
Engineering simulation, computational geometry, AI/ML
Deliverable
research
Required skills
C/C++, Python, data structures, algorithms, software engineering principles, debugging, testing, version control
Preferred skills
AI/ML, deep learning, LLMs, GenAI, GNNs, geometric modeling, mesh generation, retopology, computational geometry, graph-based representations, computer graphics, CAE, scientific computing, simulation, topology optimization, GPU acceleration, PyTorch, TensorFlow
Technologies
PyTorch, TensorFlow
Responsibilities
Explore and apply AI/ML techniques to geometry, mesh, and graph-structured engineering data; Prototype and evaluate AI-assisted methods for automating geometry creation; Analyze experimental results to improve AI-generated models; Investigate methods to reduce manual modeling effort and accelerate design workflows. (via careerplan.io/jobs/R56028-1-graduate-student-intern-software-engineering-at-cadence)
Seniority
Graduate Student Intern
