AI-Driven Design Automation Architect for Timing & Sign-off

NVIDIA Gruppe; Santa Clara (CA); On-site; USD 196,000 - 368,000; Full time

Benefits offered by this job

Equity eligibility

Comprehensive benefits

Job summary

NVIDIA is seeking a seasoned AI/ML architect to lead the development of AI-driven timing analysis and sign-off workflows in a cutting-edge semiconductor environment. Based in Santa Clara, you will architect solutions, integrate data sources, and deploy autonomous agents across design tools to improve accuracy and productivity.

You will collaborate with VLSI, EDA, and software teams, applying graph neural networks and language-model techniques to timing closure, and will own end-to-end lifecycle

Qualifications

• BS in Electrical or Computer Engineering with 12+ years of AI/ML solution development experience, ideally for EDA/semiconductor or complex data domains.
• Strong background in VLSI/ASIC design with timing, constraints, STA or sign-off workflows.
• Proficiency in Python, PyTorch/TensorFlow, and graph or agentic AI frameworks (LangGraph, LangChain, Ray, NetworkX).
• Experience developing data pipelines, knowledge graphs, or process models for structured engineering data.
• Working knowledge of timing tools (PrimeTime, Nanotime, Tempus) and scripting integration with EDA environments.
• Experience with AI orchestration frameworks, reasoning based on prompts, and multi-agent automation is highly desirable.
• Strong problem-solving skills and a drive for experimentation and continuous learning.

Responsibilities

• Architect and develop AI‑driven solutions for static timing, constraints quality, and closure prediction.
• Integrate heterogeneous data sources into structured knowledge bases and training pipelines.
• Develop autonomous analysis agents that interact with timing tools for multi‑corner, multi‑mode optimization.
• Implement scalable orchestration across Flow‑Server and Digital Engineer platforms for AI‑in‑loop sign‑off readiness.
• Collaborate with methodology and sign‑off teams to validate models on live projects and improve coverage.
• Build interpretable AI pipelines using graph neural networks, LLMs, and process‑aware reasoning engines for timing closure recommendations.

Skills

Python

PyTorch/TensorFlow

Graph AI frameworks

Multi-agent automation

EDA timing tools

Education

BS in Electrical or Computer Engineering

12+ years AI/ML experience

Tools

PrimeTime

Nanotime

Tempus

Job description

NVIDIA is seeking a seasoned AI/ML architect to lead the development of AI-driven timing analysis and sign-off workflows in a cutting-edge semiconductor environment. Based in Santa Clara, you will architect solutions, integrate data sources, and deploy autonomous agents across design tools to improve accuracy and productivity.

You will collaborate with VLSI, EDA, and software teams, applying graph neural networks and language-model techniques to timing closure, and will own end-to-end lifecycle