AI-Driven Silicon Toolchain Engineer

NVIDIA Corporation; Santa Clara, Northern (CA, KY); Hybrid; USD 152,000 - 288,000; Full time

Job summary

NVIDIA Corporation's Silicon Co-Design Group seeks an Applied AI Engineer to design, implement, and integrate AI solutions into our design and automation toolchain that powers NVIDIA chips. You will lead efforts to make post-silicon validation faster and smarter with AI, working across teams to deploy scalable AI-driven workflows.

The role emphasizes owning end-to-end AI agent-based or automation systems, deploying models, and measuring impact while collaborating with hardware engineers on

Qualifications

• BS, MS, or PhD or equivalent experience in CS, EE, CE, or a related field, with 5+ years of hands-on experience building and deploying ML/AI systems or data-intensive backend services.
• 2+ years of direct Applied AI experience independently owning an AI agent, LLM-powered workflow, or intelligent automation system end-to-end — from prototype through production deployment.
• Strong Python skills and proficiency in at least one static language such as C, C++, C#, Java, or Scala.
• Proven track record with deploying, monitoring, and debugging scalable AI/ML models.
• Strong EE fundamentals, including computer architecture, high-speed interfaces, timing, power basics, and a solid understanding of firmware/driver structures and hardware interaction.
• Experience working within a silicon development environment, with exposure to chip and system characterization methodologies.
• Hands-on experience with silicon bring-up, characterization, or lab debug using standard tools (e.g., oscilloscopes, multimeters, logic analyzers).
• Proven ability to balance multiple simultaneous projects with excellent problem-solving, communication, and collaboration skills.

Responsibilities

• Design and deploy AI systems that make post-silicon validation faster, smarter, and more scalable across semiconductor environments.
• Work directly with multi-functional engineering teams across the organization to identify where AI can eliminate friction, and then build the solution.
• Evaluate emerging AI frameworks and architectures before the rest of the industry catches on.
• Build the data systems that prove what's working, establishing clear indicators of AI impact and driving iteration across the org to turn insight into lasting improvement.

Skills

Python

C/C++

Java

ML/AI systems

LLM pipelines

Problem solving

Education

BS/MS/PhD in CS/EE/CE

Tools

PyTorch

TensorFlow

LangChain

NeMo Agent Toolkit

Job description

NVIDIA Corporation's Silicon Co-Design Group seeks an Applied AI Engineer to design, implement, and integrate AI solutions into our design and automation toolchain that powers NVIDIA chips. You will lead efforts to make post-silicon validation faster and smarter with AI, working across teams to deploy scalable AI-driven workflows.

The role emphasizes owning end-to-end AI agent-based or automation systems, deploying models, and measuring impact while collaborating with hardware engineers on