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Software Intern

Cadence

Software Intern

Cadence

SAN JOSE

·

On-site

·

Internship

·

1w ago

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

We are looking for a highly motivated software intern to work on the research and development using the state-of-the-art machine learning technologies in the area of on-chip in parasitic modeling, in a fast-paced, small team environment.

Position Requirements:

  • Fast learner, highly motivated with good communication skills to solve extremely challenging technical problems, in a start-up like environment.
  • Strong algorithm background, programming skills and implementation for the processing of large amount of data
  • Knowledge and experience with state-of-the-art machine learning technologies, parasitic modeling is a big plus
  • Experience in C/C++ coding, with any of the following background: CS, Mathematics, Physics or EE.
  • Knowledge in UNIX shell and scripting language like Python, Perl
  • ML knowledge is a plus
  • Minimum: Master or PhD graduate candidates.

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

Mid/L4

Senior/L5

Intern

Junior/L3 · Associate

10 reports

$109,936

total / year

Base

$97,510

Stock

-

Bonus

$12,426

$64,329

$189,193

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