AI Engineer: LLM Pipelines for Silicon Validation

Nvidia Corporation in; Santa Clara (CA); On-site; USD 184,000 - 288,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking an Applied AI Engineer in Finance to architect and deploy AI solutions across silicon design workflows. You will lead the transition of the toolchain to AI-enabled processes, driving efficiency, scalability, and intelligence from concept to deployment.

Expect hands-on work with LLMs, AI frameworks, and hardware-in-the-loop validation, collaborating across teams to deliver impactful production tooling and measurable improvements.

Qualifications

• 5+ years building and deploying ML/AI systems or data-intensive backends.
• 2+ years owning an AI agent or LLM-powered workflow end-to-end.
• Strong Python skills; proficient in C/C++/Java/C#.
• Experience deploying, monitoring, and debugging scalable AI/ML models.
• Solid EE fundamentals, hardware interaction, and system-level knowledge.
• Experience in silicon development environments and lab bring-up.

Responsibilities

• Design and implement LLM-powered validation pipelines for faster silicon validation.
• Collaborate with cross-functional teams to integrate AI into workflows.
• Evaluate emerging AI frameworks and architectures for production use.
• Build data systems to measure AI impact and drive continuous improvement.

Skills

Python

ML/AI systems

C/C++

Communication & collaboration

Hardware interaction

Education

BS/MS/PhD in CS/EE/CE

Tools

PyTorch

TensorFlow

LangChain

NeMo Agent Toolkit

n8n

Semantic Kernel

AutoGen

CrewAI

Job description

NVIDIA is seeking an Applied AI Engineer in Finance to architect and deploy AI solutions across silicon design workflows. You will lead the transition of the toolchain to AI-enabled processes, driving efficiency, scalability, and intelligence from concept to deployment.

Expect hands-on work with LLMs, AI frameworks, and hardware-in-the-loop validation, collaborating across teams to deliver impactful production tooling and measurable improvements.