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PCB Design EDA and AI Engineer - New College Graduate 2027

Salary not listed • Taiwan, Taipei • Full-time

Posted 17d ago

Job Location

Taiwan, Taipei

Tech Stack

Remote Work Policy

On-site

Employment Type

Full-time

Categories

AI Engineer

About the job

NVIDIA is seeking a New College Graduate to join our PCB Design team in Taiwan. This role offers a unique opportunity to work with industry-leading engineers on the automation of hardware design for next-generation AI accelerated computing platforms. Through structured training, mentorship, and hands-on projects, you will develop into an expert in hardware EDA and AI design, gaining a system-level perspective and contributing to the future of computing architecture.

Responsibilities

  • Implement and optimize automation tools and processes for hardware design of NVIDIA's latest products.
  • Research and apply AI in PCB design engineering.
  • Support EDA research and development for advanced PCB design and manufacturing technologies.
  • Collaborate with global EDA and hardware engineering teams.
  • Work with cross-functional teams (PCB design, circuit design, mechanical design, etc.) to solve complex engineering automation challenges.
  • Optimize design methodologies and workflows to enhance product performance and design efficiency.

Requirements

  • Bachelor's degree or above in Automation, Electrical and Electronic Engineering, Computer Engineering, or a related engineering field.
  • Familiarity with electronic circuits and PCB design.
  • Familiarity with Cadence or similar EDA design software.
  • Background with Python or EDA scripting development.
  • Familiarity with modern software tool flows like GitLab and CI/CD.
  • Basic understanding of AI Agent practices and related concepts.
  • Proficient daily English communication skills.
  • Strong logical analysis and engineering problem-solving abilities.
  • Honesty, resilience, and strong communication/collaboration skills.
  • Self-motivated with a passion for technological innovation and continuous learning.