Applied AI Engineer for Silicon Toolchains

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

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA’s Silicon Co-Design Group is seeking an Applied AI Engineer to innovate, develop, and integrate 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 charge.

Qualifications

• BS, MS, or PhD or equivalent experience in CS, EE, CE, or related field with 5 years of hands-on ML/AI experience.
• 2 years of direct Applied AI experience owning an AI agent or LLM-powered workflow end-to-end.
• Strong Python skills and proficiency in at least one static language such as C, C++, Java, or Scala.
• Strong EE fundamentals, including computer architecture, timing, power basics, and firmware/driver interaction.
• Hands-on experience in production test, system validation, post-silicon bring-up, reliability, silicon debug, or yield analysis.
• Experience in silicon development environments and familiarity with manufacturing and quality metrics.

Responsibilities

• Design and deploy LLM-powered validation pipelines for faster, smarter post-silicon validation.
• Collaborate with multi-functional teams to integrate AI into silicon workflows across generations.
• Evaluate emerging AI frameworks and architectures and build practical production tools.
• Establish quantitative AI impact metrics and drive continuous improvements across the organization.

Skills

Python

C

C++

ML/AI systems

Problem-solving

Communication

Teamwork

Education

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

Tools

PyTorch

TensorFlow

LangChain

Semantic Kernel

AutoGen

CrewAI

n8n

NeMo Agent Toolkit

Job description

NVIDIA’s Silicon Co-Design Group is seeking an Applied AI Engineer to innovate, develop, and integrate 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 charge.