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Software Engineering Intern

Cadence

Software Engineering Intern

Cadence

SAN JOSE 10

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Professional development budget

Competitive salary and equity package

Comprehensive health, dental, and vision insurance

Flexible work arrangements

Generous paid time off and holidays

Parental leave

Learning

Equity

Healthcare

Flexible Hours

Parental Leave

Required Skills

TypeScript

React

JavaScript

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.

  • Basic Requirements:Educational Background

  • Pursuing or recently completed a degree in Computer Science, Applied Mathematics,  Data Science, or a related field.

  • Strong foundation in machine learning, deep learning, and natural language processing (NLP) and LLM

  • Technical Skills

  • Proficiency in Python and experience with frameworks like Py Torch, Tensor Flow, Sci Kit, etc.

  • Basic understanding of Retrieval-Augmented Generation (RAG) and vector databases.

  • Comfortable working with LLM APIs and integrating them into applications.

  • A solid understanding of machine learning concepts (e.g., supervised/unsupervised learning, NLP, computer vision) and algorithms is crucial.

  • Proficiency in Python is essential. C++ also valuable.

  • Problem-Solving & Collaboration

  • Ability to work in a fast-paced research and development environment.

  • Strong analytical thinking and debugging skills.

  • Experience with rapid prototyping in open-source AI/ML projects.

We’re doing work that matters. Help us solve what others can’t.

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About Cadence

Cadence

Cadence

Public

Cadence Design Systems provides electronic design automation (EDA) software, hardware, and IP for designing and verifying electronic systems and semiconductors.

5,001-10,000

Employees

San Jose

Headquarters

Reviews

3.3

7 reviews

Work Life Balance

2.0

Compensation

2.5

Culture

1.8

Career

2.0

Management

1.5

15%

Recommend to a Friend

Pros

Built strong client relationships

Useful for repetitive tasks

Employment opportunities

Cons

Poor management and micromanagement

Lack of career growth opportunities

Technical architecture and code quality issues

Salary Ranges

65 data points

Junior/L3

Junior/L3 · Data Analyst

1 reports

$91,103

total / year

Base

$85,276

Stock

-

Bonus

$5,827

$59,612

$139,984

Interview Experience

1 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Final Decision

Common Questions

Technical Knowledge

Behavioral/STAR

Past Experience

Problem Solving