About the role#
Cadence is looking for a graduate student to join as a Software Engineering Intern. You will work on integrating AI and machine learning into engineering workflows. This role focuses on applying modern techniques to geometry, mesh, and graph-structured data.
What you'll do#
- Apply AI and ML techniques including LLMs, GenAI, and GNNs to engineering data.
- Research and build AI-driven approaches for geometry modeling, mesh generation, and topology optimization.
- Prototype methods to automate geometry creation and simulation model preparation.
- Collaborate with researchers and engineers to integrate AI into physics-based applications like thermal and structural simulation.
- Analyze experimental results to improve the quality and performance of AI-generated models.
- Document your findings and contribute to prototype software development.
What you'll need#
- Currently pursuing a Master's degree or PhD in Computer Science, Engineering, Applied Mathematics, or a related field.
- A strong foundation in data structures, algorithms, and software engineering principles.
- Experience programming in C, C++, and Python.
- Familiarity with software development practices like debugging, testing, and version control.
- Strong analytical, problem-solving, and communication skills.
Location & details#
- Location: Austin, Texas.
- Work modality: On-site.
- Employment type: Full-time.
- Term: Rolling.
About Cadence
Cadence is a research services company founded in 2014. It provides language solutions for investors and consultants to help them gain business insights across language barriers. The firm offers services including due diligence, management calls, and market research for finance professionals. It maintains teams in Los Angeles, Latvia, Beijing, and Singapore with a staff of 11 to 50 employees.
How to get in at Cadence
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