The circuit simulation intern will assist R&D staff in developing new algorithms and software for the Spectre circuit simulator. Job duties may include hands-on experience in researching new algorithmic approaches, software engineering to implement new features, performing software validation and testing, and investigating performance/accuracy issues in the simulator.
Primary responsibilities include researching and developing Machine Learning approaches to problems in the EDA and system design. Applicant must possess a working knowledge of various Machine Learning techniques such as linear regression, classification, clustering, decision trees, and neural networks, and have a practical experience with ML libraries, such as Sklearn and PyTorch. Solid understanding of statistics is a plus.
Applicant should be a candidate for an advanced degree (Masters or PhD) in the electrical engineering, computer science, applied mathematics, or related field.
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