Senior ASIC Design Engineer - Agentic AI

Job Title

Senior ASIC Design Engineer - Agentic AI

Role Summary

Join the AI for Chip Design and GPU Design Methodology teams to develop agentic AI solutions and design guidelines that enable high-performance, area- and power-efficient RTL for NVIDIA SoCs and GPUs. The role spans micro-architecture, RTL implementation, verification, synthesis/timing closure, and deployment of LLM-powered engineering assistants.

Experience Level

Senior — typically requires 8+ years of relevant industry experience.

Responsibilities

The role combines architecture and implementation work with AI-driven tooling and methodology delivery. Key responsibilities include:

• Produce and maintain design guidelines to achieve performance, area, and power targets for complex RTL designs.
• Develop agentic AI solutions to assist micro-architecture decisions, generate RTL, and accelerate verification.
• Implement RTL (Verilog) and deliver synthesis- and timing-clean designs.
• Collaborate with designers, tool owners, and flow teams to integrate methodology and AI solutions into existing flows.
• Design and deploy LLM-powered engineering assistants, multi-turn multi-modal dialogue systems, and related tooling (RAG, vector DBs).
• Validate and verify designs through automated verification flows and coordinate for logic synthesis and timing analysis.
• Continuously evaluate and apply advances in machine learning and AI to chip-design problems.

Requirements

Required technical skills and experience. "Must-have" items are listed first; "nice-to-have" items follow.

• Must-have: 8+ years of industry experience in ASIC/RTL design and verification.
• Hands-on micro-architecture design and RTL development using Verilog for complex subsystems.
• Deep knowledge of the ASIC design flow: RTL design, verification practices, logic synthesis, and timing analysis.
• Familiarity with digital systems, VLSI design, computer architecture, and computer arithmetic.
• Proficiency in Python and software engineering fundamentals (data structures, algorithms, rapid prototyping).
• Experience fine-tuning large language models, building multi-agent systems, and implementing RAG pipelines with vector databases.
• Strong analytical, written, and verbal communication skills; ability to work in distributed, product-focused teams.
• Nice-to-have: Prior work on GPU or high-performance SoC design methodology and experience deploying ML/LLM tooling in engineering environments.

Education Requirements

Master's or PhD in Electrical Engineering, Computer Science/Engineering, or a related technical field, or equivalent practical experience.

About the Company

Company: NVIDIA

Headquarters: Santa Clara, California, USA

NVIDIA is a global leader in accelerated computing, renowned for its innovative solutions in AI and digital twins that transform diverse industries. The company specializes in networking technologies, providing end-to-end InfiniBand and Ethernet solutions for servers and storage that optimize performance and scalability. NVIDIA serves sectors such as high-performance computing, enterprise data centers, and cloud computing, constantly reinventing its products and services to stay ahead in the market.