About the job
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.
Responsibilities
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.
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.
Use AI technologies to tackle complex problems in chip design, driving innovation and meaningful impact across the industry.
Design and deploy LLM-powered solutions for engineering assistants and multi-turn, multi-modal dialogue systems.
Engage with the latest advancements in machine learning and AI to create powerful solutions.
Qualifications
Minimum
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.
Preferred
No preferred qualifications listed.