Applied AI Engineer: AI-Driven Silicon Validation

NVIDIA; Arizona; On-site; USD 152,000 - 288,000; Full time

Job summary

NVIDIA's Silicon Co-Design Group is seeking an Applied AI Engineer to innovate, develop, and integrate innovative AI solutions into the design and automation infrastructure that powers our chips. Every CPU, GPU, and Tegra SoC NVIDIA has shipped in the past four years passed through our toolchain on its way to production — over 200 product SKUs were optimized during the Blackwell generation alone.

Now we're rebuilding that toolchain around AI, and we're looking for the engineer to lead that

Qualifications

• BS, MS, or PhD in CS/EE/CE or related field with 5+ years ML/AI experience.
• 2+ years owning an AI agent, LLM-powered workflow, or automation end-to-end.
• Strong Python skills and proficiency in at least one static language such as C, C++, Java, or Scala.
• Strong EE fundamentals: architecture, high-speed interfaces, timing, power basics, and firmware/driver knowledge.

Responsibilities

• Design and deploy LLM-powered validation pipelines to speed up post-silicon validation.
• Collaborate with cross-functional teams to integrate AI into the design toolchain.
• Evaluate emerging AI frameworks and architectures and build practical production tools.
• Establish quantitative indicators of AI impact and drive continuous improvement across teams.

Skills

Strong problem-solving

Excellent communication

Team collaboration

Attention to detail

Fast learner

Education

BS/MS/PhD in CS/EE/CE or related

Tools

Python

C/C++

LangChain

NeMo Agent Toolkit

TensorFlow

PyTorch

AutoGen

n8n

Semantic Kernel

CrewAI

Job description

NVIDIA's Silicon Co-Design Group is seeking an Applied AI Engineer to innovate, develop, and integrate innovative AI solutions into the design and automation infrastructure that powers our chips. Every CPU, GPU, and Tegra SoC NVIDIA has shipped in the past four years passed through our toolchain on its way to production — over 200 product SKUs were optimized during the Blackwell generation alone.

Now we're rebuilding that toolchain around AI, and we're looking for the engineer to lead that