Software Engineering Intern (Circuit Simulation) at Cadence Design Systems

San Jose, California, United States

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Not SpecifiedCompensation

InternshipExperience Level

InternshipJob Type

UnknownVisa

Semiconductor, EDA, TechnologyIndustries

Requirements

Candidate for an advanced degree (Masters or PhD) in electrical engineering, computer science, applied mathematics, or related field
Working knowledge of various Machine Learning techniques such as linear regression, classification, clustering, decision trees, and neural networks
Practical experience with ML libraries, such as Sklearn and PyTorch
Solid understanding of statistics (a plus)

Responsibilities

Assist R&D staff in developing new algorithms and software for the Spectre circuit simulator
Research new algorithmic approaches
Perform software engineering to implement new features
Perform software validation and testing
Investigate performance/accuracy issues in the simulator
Research and develop Machine Learning approaches to problems in the EDA and system design

Skills

Key technologies and capabilities for this role

Machine Learninglinear regressionclassificationclusteringdecision treesneural networksSklearnPyTorchstatisticsPythonsoftware engineeringalgorithm developmentSpectreEDAcircuit simulation

Questions & Answers

Common questions about this position

What are the primary responsibilities of the Software Engineering Intern?

The intern will assist R&D staff in developing new algorithms and software for the Spectre circuit simulator, including researching Machine Learning approaches to problems in EDA and system design, implementing features, validation, testing, and investigating performance issues.

What Machine Learning skills are required for this internship?

A working knowledge of Machine Learning techniques such as linear regression, classification, clustering, decision trees, and neural networks is required, along with practical experience with ML libraries like Sklearn and PyTorch. Solid understanding of statistics is a plus.

What education level is required for this position?

Applicants should be candidates for an advanced degree (Masters or PhD) in electrical engineering, computer science, applied mathematics, or a related field.

What is the employment type for this internship?

The position is full time.

What makes a strong candidate for this Software Engineering Intern role?

Strong candidates will be pursuing a Masters or PhD in electrical engineering, computer science, applied math or related fields, with hands-on ML experience using techniques like neural networks and libraries like PyTorch/Sklearn, and interest in circuit simulation and EDA.

Cadence Design Systems

Provides EDA software and IP solutions

About Cadence Design Systems

Cadence Design Systems provides software, hardware, and intellectual property for the electronic design automation (EDA) industry, focusing on the design of semiconductor chips and electronic systems. Their products include tools for system design, verification, integrated circuit design, and custom and analog design. Cadence also offers IP solutions like Tensilica processors and DSPs, which are utilized in various applications, including AI, machine learning, and multimedia processing. Unlike many competitors, Cadence emphasizes continuous innovation and collaboration with industry leaders, which helps them maintain a strong position in the global market. The company's goal is to support clients in creating advanced electronic systems efficiently and effectively.

San Jose, CaliforniaHeadquarters

1988Year Founded

$4MTotal Funding

IPOCompany Stage

Automotive & Transportation, Hardware, AI & Machine LearningIndustries

10,001+Employees

Risks

Competition from Synopsys may impact Cadence's market share in AI applications.

High costs and complexity in 2nm technology development pose challenges.

$2.5 billion senior notes offering could affect financial flexibility.

Differentiation

Cadence leads in EDA with over 30 years of computational software expertise.

The company offers a broad IP portfolio, including Tensilica processors and DSPs.

Cadence collaborates on cutting-edge 2nm GAA and BSPDN technologies for advanced semiconductors.

Upsides

Growing demand for AI-driven design tools boosts Cadence's market opportunities.

Cadence's global expansion, especially in Asia, increases revenue potential.

Recognition as a top workplace enhances talent acquisition and innovation.

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