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# Senior ASIC Design Engineer - Agentic AI

- **Company:** NVIDIA Ltd.
- **Location:** Santa Clara, CA, United States
- **Experience:** Expert
- **Salary:** $168,000.0 - $264,500.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Microarchitecture, Data Structures, Logic Synthesis of Circuits, Digital Technology, Python (Programming Language), Machine Learning, Rapid Prototyping Process, Software Engineering, Static Timing Analysis, Verilog, Graphics Processing Unit (GPU), Application Specific Integrated Circuits, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Agentic-AI, Information Technology, Vlsi Design
- **Published:** October 29, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-asic-design-engineer-agentic-ai-santa-clara-ca--f208b6e3-e63b-49d7-b995-bf2d6d7aef71

## About the Role

Technical/Engineering Design, ASIC Design, Artificial Intelligence (AI), ASIC Design, Technical/Engineering Design, Product Development, Autonomous Driving Systems, Graphics, GPU (Graphics Processing Unit), Artificial Intelligence (AI), * Master's or PhD degree in Electrical Engineering, Computer Science/Engineering, or a related field (or equivalent experience).

 * 8+ years of meaningful work experience.
 * Experience in micro-architecture and RTL development (Verilog) in complex designs.
 * Deep understanding of ASIC design flow including RTL design, verification, logic synthesis and timing analysis.
 * Exposure to Digital systems and VLSI design, Computer Architecture, and Computer Arithmetic is required.
 * Proficiency in rapid prototyping using Python with strong foundational knowledge of data structures, algorithms, and software engineering principles.
 * Experience with fine-tuning large language models, building advanced multi-agent systems, RAG pipelines and vector databases.
 * Strong analytical, communication, and interpersonal skills, with a proven track record to thrive in dynamic, product-focused, and distributed teams.
 * A proactive approach to problem-solving and a willingness to acquire new skills and knowledge as needed to achieve results.

## Description

NVIDIA is seeking ASIC Design Engineers with experience in agentic AI to help design and implement the world's leading SoC's and GPU's. As part of NVIDIA's "AI for chip design" team, you will have the opportunity to tap into the unlimited potential of AI and change the landscape of chip design at NVIDIA and throughout the industry. This position offers the opportunity to have a real impact in a dynamic, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. We have crafted a team of exceptional people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing. Our team operates at the intersection of research, engineering, and product development, transforming innovative ideas and research breakthroughs into real-world solutions. If you're passionate about the latest research and cutting-edge technologies
shaping generative AI, this role and team offer a great opportunity to be at the forefront of innovation.

What you'll be doing:

 * As a member of the GPU Design Methodology team, you will document and deliver design guidelines that will help the ASIC team implement high performance, area and power efficient RTL to achieve design targets and specifications.
 * As part of the AI for Chip Design team, you will develop agentic AI solutions to craft the micro-architecture, implement the RTL, and deliver a fully verified, synthesis/timing clean design.
 * Collaborate and coordinate with other designers as well as tool and flow owners to make sure design guidelines and agentic solutions meet their requirements.
 * Make a difference by using AI technologies to tackle complex problems in chip design, driving innovation and meaningful impact across the industry.
 * Drive impact by designing and deploying LLM-powered solutions for engineering assistants and multi-turn, multi-modal dialogue systems.
 * Stay ahead by engaging with the latest advancements in machine learning and AI to create powerful solutions.