Electronic Design Automation Intern - 2026

Invidia

Hsinchu, Taiwan
Hybrid
Vlsi algorithms development using c++
Optimization engines for chip design
Gate-level sizing and buffering algorithms
NVIDIA's success builds on a foundation of industry leading hardware and extensive design optimization

Job Summary

  • NVIDIA's success builds on a foundation of industry leading hardware and extensive design optimization.
  • The team owns the whole process from discovery and invention of new optimization opportunities to deployment within design teams.
  • The role involves inventing new optimization engines that increase chip frequency while minimizing power consumption.

Matching Summary

NVIDIA's success builds on a foundation of industry leading hardware and extensive design optimization.

Skills & Requirements

Must-have

  • VLSI algorithms development using C++
  • Optimization engines for chip design
  • Gate-level sizing and buffering algorithms
  • Physical Design Algorithms expertise
  • Strong programming skills
  • High capacity timing closure tools

Nice-to-have

  • C++14 or newer features experience
  • Design implementation tools knowledge
  • Perl, Tcl, and Python scripting
  • High performance software design
  • CUDA programming and multithreading
  • Reinforcement learning and GNNs

Key Requirements

  • Pursuing BS, MS, or PhD in Electrical Engineering or Computer Science
  • Experience in VLSI Physical Design Algorithms
  • Strong communication and interpersonal skills

Work Rights

Not specified

Tailored Resume

Cover Letter