Cadence · 7 hours ago
Graduate Student Intern - Software Engineering
Cadence is a company that hires and develops leaders and innovators in technology. They are seeking a Graduate Student Intern in Software Engineering to explore AI/ML techniques and assist in developing AI-driven approaches for engineering applications.
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Responsibilities
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
Qualification
Required
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
Preferred
Familiar 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) is a plus
Company
Cadence
Cadence is a market leader in AI and digital twins, pioneering the application of computational software to accelerate innovation in the engineering design of silicon to systems.
H1B Sponsorship
Cadence has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (306)
2024 (221)
2023 (282)
2022 (330)
2021 (233)
2020 (209)
Funding
Current Stage
Public CompanyTotal Funding
unknown1998-02-20IPO
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