Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
NVIDIA

PCB Design EDA, AI Engineer

NVIDIA

. Contribute to implementing and optimizing automation tools and processes for NVIDIA hardware design .

Posted 10/14/2026full-timeTaipei • TaiwanEntry LevelWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in PCB design, automation tools, and EDA software, with a strong foundation in electrical engineering principles. Proficient in Python and familiar with AI applications in engineering, emphasizing collaboration and problem-solving in cross-functional teams.

Highest-signal resume keywords
PCB DesignAutomation Tools ImplementationPython ProgrammingCadence EDA SoftwareAI Applications in Engineering

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
PCB DesignAutomationPython ProgrammingEDA ScriptingSignal Integrity DesignSystem ValidationDFF Design MethodologyDFA Design MethodologyDFT Design MethodologyCUDA Programming
Soft Skills
Strong Communication SkillsCollaboration SkillsLogical AnalysisProblem-Solving AbilitiesSelf-Motivated
Tools & Technologies
CadenceGitLabCI/CD ToolsNVIDIA GPU ArchitectureHopperBlackwell
Industry Keywords
Electronic CircuitsPCB Manufacturing ProcessesEngineering WorkflowsEDA Research and DevelopmentTechnological Innovation

Tech Stack

Tools & technologies
Python

About the role

Key responsibilities & impact
  • Contribute to implementing and optimizing automation tools and processes for NVIDIA hardware design
  • Participate in research and practical applications of AI in PCB design engineering
  • Support EDA research and development for PCB design and manufacturing technologies
  • Communicate and collaborate daily with global EDA and hardware engineering teams
  • Work with PCB design, system circuit design, mechanical design, component library design, signal integrity design, system validation, and manufacturing teams
  • Solve complex engineering automation challenges
  • Optimize design methodologies and engineering workflows to improve product performance and design efficiency

Requirements

What you’ll need
  • 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 experience
  • Familiarity with GitLab and CI/CD tool flows
  • Basic understanding of AI Agent practices and related concepts
  • Proficient daily English communication skills
  • Strong logical analysis and engineering problem-solving abilities
  • Strong communication and collaboration skills; ability to work effectively in a cross-functional team environment
  • Self-motivated, passionate about technological innovation, and willing to continuously learn and explore new technologies
  • New college graduate 2027
  • Experience with PCB, electronic hardware, or system design projects through coursework, competitions, research, internships, or personal projects
  • Understanding of PCB manufacturing processes and design methodologies such as DFF, DFA, and DFT
  • Background in CUDA programming and NVIDIA GPU architecture features, including Hopper and Blackwell

Benefits

Comp & perks
  • Equal opportunity employment and non-discrimination across protected characteristics
  • Structured training, mentorship, and hands-on project experience