Principal AI Engineer, VLSI CAD at NVIDIA

Your Mission:

Revolutionize how the world’s most advanced semiconductors are designed by developing AI-powered EDA tools that accelerate NVIDIA’s next-generation GPU/CPU development cycles.

Why This Role?

• ⚡ Shape the future of VLSI CAD with generative AI and ML.
• 🖥️ Work on bleeding-edge – Your tools will design chips powering AI revolution.
• 🚀 See immediate impact – Solutions deployed across NVIDIA’s design teams.

What You’ll Build:

✔ AI-Enhanced Design Flows

• ML models for timing/power/yield optimization.
• Neural solvers for placement/routing challenges.
• Generative approaches to design space exploration.

✔ Production-Grade Infrastructure

• Scalable AI training pipelines for TB-scale design data.
• Cloud-native CAD automation frameworks.
• Continuous integration for ML-in-the-loop verification.

Your Toolkit:

• ▸ 5+ years VLSI CAD development (AI/ML integration focus).
• ▸ Mastery of:
  • Python/PyTorch/TensorFlow.
  • Industry EDA tools (Synopsys/Cadence flows).
  • Tcl/Perl/Make for CAD automation.
• ▸ Deep understanding of:
  • Physical design challenges (STA, DRC, LVS).
  • MLOps for EDA (feature engineering, model serving).

Stand Out With:

• 🏆 Production deployments of AI in tapeout flows.
• 📜 Publications at DAC, ICCAD, or IEEE.
• ☁️ Cloud-scale distributed ML training experience.

NVIDIA Perks:

• 💻 Work with best-in-class GPU clusters.
• 🌍 Hybrid flexibility (Santa Clara/Austin/Remote).
• 📈 Equity in the AI hardware leader.
• 🧠 Continuous learning via internal tech conferences.

“We’re not just using AI for chips—we’re using our chips to reinvent AI for EDA”