Senior Design Automation Engineer, Applied AI

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 has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Today, we’re tapping into the unlimited potential of AI to define the next era of computing.

What You’ll Be Doing:

• Architect and develop AI‑driven solutions for static timing, constraints quality, and closure prediction.
• Integrate heterogeneous data sources – timing reports, constraint graphs, design metadata, silicon correlation – into structured knowledge bases and training pipelines.
• Develop autonomous analysis agents that interact with timing tools (PrimeTime, Nanotime, Tempus) to perform multi‑corner, multi‑mode optimization and constraint debugging.
• Implement scalable orchestration across Flow‑Server and Digital Engineer platforms, enabling AI‑in‑loop decision‑making for sign‑off readiness.
• Collaborate with methodology and sign‑off teams to validate models on live projects, improving coverage, predictability, and engineering productivity.
• Build interpretable AI pipelines using graph neural networks, large language models, and process‑aware reasoning engines for timing closure recommendations.
• Be responsible for the end‑to‑end lifecycle – from data curation and model training to deployment, monitoring, and continuous improvement in production environments.

What We Need to See:

• BS (or equivalent experience) in Electrical or Computer Engineering with 12+ years of experience in AI/ML solution development, ideally for EDA, semiconductor, or complex data domains.
• Strong background in VLSI/ASIC design – deep understanding of 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, technical depth, and a mentality for experimentation and continuous learning.

Ways to Stand Out from the Crowd:

• Experience with constraint validation, false‑path detection, and timing‑exception modeling.
• Prior exposure to AI in physical design automation, silicon/process modeling, or EDA flow automation.
• Contributions to open‑source AI or flow automation projects.
• Publications or patents in AI for design automation or semiconductor engineering.

Benefits & Compensation:

Base salary ranges: $196,000–$310,500 for Level5 and $232,000–$368,000 for Level6. Eligibility for equity and comprehensive benefits is also provided.

EEO Statement:

NVIDIA is committed to fostering a diverse work environment and is a proud equal‑opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.