Software Engineer, Hardware Tools And Methodology - New College Grad 2026

Invidia

Us, CA, United States
Base: 116,000 usd - 189,750 usd for level 2; base:...
Hybrid
C++ coding skills
Asic design understanding
Verilog rtl knowledge
NVIDIA’s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world

Job Summary

  • NVIDIA’s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world.
  • You will architect, design, develop and support tools for RTL generation across all NVIDIA products and automate workflows for supporting deliverables to multiple cross functional teams.
  • NVIDIA is widely considered one of the technology world’s most desirable employers and values creativity, collaboration, and passion for design methodology and automation.

Matching Summary

NVIDIA’s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world.

Salary

Base: 116,000 USD - 189,750 USD for Level 2; Base: 136,000 USD - 218,500 USD for Level 3; Bonus/Equity: Eligible; Benefits: Eligible

Skills & Requirements

Must-have

  • C++ coding skills
  • ASIC design understanding
  • Verilog RTL knowledge
  • Software and hardware principles
  • Cross-functional team collaboration

Nice-to-have

  • RTL design experience
  • Verification and synthesis skills
  • Perl, Python, Make scripting
  • Clocks/Resets design and verification
  • Passion for design methodology and automation

Key Requirements

  • Master's degree or higher in Computer Engineering or Electrical Engineering
  • Experience with ASIC design and Verilog RTL
  • Experience working across multi-functional teams

Work Rights

Not specified

Tailored Resume

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