ML Software Intern - On-Chip Modeling

Cadence Design Systems, Inc.; San Jose (CA); On-site; USD 44,000 - 81,000; Full time

Job summary

Cadence Design Systems, Inc. in San Jose is seeking a highly motivated software intern to join our R&D team and work on machine learning-based on-chip parasitic modeling. You will contribute to fast-paced projects in a small team with opportunities to impact semiconductor technology.

The role requires a strong algorithm background, C/C++ coding skills, and experience with UNIX shell and Python/Perl scripting. A Master or PhD degree is required; ML knowledge is a plus.

Qualifications

• Strong algorithm background with experience processing large data sets.
• C/C++ coding with CS/Math/Physics/EE background.
• UNIX shell and scripting with Python or Perl.
• Familiarity with state-of-the-art machine learning technologies; parasitic modeling a plus.
• Minimum: Master or PhD degree.

Responsibilities

• Research and development using ML technologies for on-chip parasitic modeling.
• Collaborate in a fast-paced, small team environment to solve challenging problems.

Skills

Strong algorithm background

C/C++ coding

Python/Perl scripting

Machine learning knowledge

Communication skills

Education

Master or PhD degree

Job description

Cadence Design Systems, Inc. in San Jose is seeking a highly motivated software intern to join our R&D team and work on machine learning-based on-chip parasitic modeling. You will contribute to fast-paced projects in a small team with opportunities to impact semiconductor technology.

The role requires a strong algorithm background, C/C++ coding skills, and experience with UNIX shell and Python/Perl scripting. A Master or PhD degree is required; ML knowledge is a plus.