Cadence

Software Intern

Cadence  •  United States (Onsite)  •  3 months ago
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Job Description

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.

Cadence

About Cadence

Cadence is a market leader in AI and digital twins, pioneering the application of computational software to accelerate innovation in the engineering design of silicon to systems. Our design solutions, based on Cadence’s Intelligent System Design™ strategy, are essential for the world’s leading semiconductor and systems companies to build their next-generation products from chips to full electromechanical systems that serve a wide range of markets, including hyperscale computing, mobile communications, automotive, aerospace, industrial, life sciences and robotics. In 2024, Cadence was recognized by the Wall Street Journal as one of the world’s top 100 best-managed companies. Cadence solutions offer limitless opportunities—learn more at www.cadence.com.

Industry
IT & Software
Company Size
10,000+ employees
Headquarters
San Jose, California
Year Founded
Unknown
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