CAD Engineering Intern: AI-Powered Chip Design & Automation

Rambus

San Jose (CA)

Hybrid

USD 36,000 - 66,000

Full time

3 days ago
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Benefits offered by this job

Hybrid work model

Job summary

Rambus is hiring a CAD Engineering Intern in San Jose, CA. You will help develop automated CAD methods and toolflows for digital ASIC design, working with EDA tools and cross‑functional teams.

The role emphasizes scripting (Python/Tcl/Bash), Linux, and debugging while exploring AI-driven automation and workflow improvements. You’ll report to the Director of CAD and gain exposure to place & route, verification, and design signoff concepts within a global design organization.

Qualifications

  • Pursuing a Bachelor’s, Master’s, or Ph.D. in Electrical Engineering, Computer Engineering or Computer Science.
  • Understanding of digital logic design, RTL, and ASIC/SoC basics.
  • Experience with Python, Tcl, Bash, or similar scripting languages.
  • Familiarity with Linux environments and debugging/version control.
  • Strong analytical and problem-solving abilities and ability to work independently.
  • Interest in automation and AI technologies for engineering problems.

Responsibilities

  • Develop, maintain, and enhance CAD methodologies and automation flows for digital ASIC design.
  • Engage in ASIC design, verification, and implementation tasks.
  • Create Python, Tcl, and shell scripts to automate design workflows and data analysis.
  • Explore AI-assisted solutions and AI agents for CAD workflows and automation.

Skills

Digital logic basics
Python
Tcl
Bash
Linux
Debugging
Problem solving
Independent worker
AI in engineering

Education

Bachelor’s or higher in Electrical Engineering, Computer Engineering or CS

Tools

Synopsys
Cadence
Siemens

Job description

Rambus is hiring a CAD Engineering Intern in San Jose, CA. You will help develop automated CAD methods and toolflows for digital ASIC design, working with EDA tools and cross‑functional teams.

The role emphasizes scripting (Python/Tcl/Bash), Linux, and debugging while exploring AI-driven automation and workflow improvements. You’ll report to the Director of CAD and gain exposure to place & route, verification, and design signoff concepts within a global design organization.

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