Overview
On Site
Full Time
Skills
Cadence
Research and Development
Algorithms
Software Engineering
Verification And Validation
Testing
Research
EDA
Data Analysis
Systems Design
Linear Regression
Clustering
Decision Trees
Machine Learning (ML)
scikit-learn
PyTorch
Statistics
Electrical Engineering
Computer Science
Applied Mathematics
Job Details
At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.
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.
We're doing work that matters. Help us solve what others can't.
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.
We're doing work that matters. Help us solve what others can't.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.