Senior ASIC AI Engineer
NVIDIAJob Title
Senior ASIC AI Engineer
Role Summary
Design and deliver AI-powered methodologies and agentic workflows that generate micro-architecture, RTL, and physical design artifacts for GPU memory system units. Work cross-functionally with architects, hardware, and physical design engineers to integrate AI into existing ASIC design flows and improve area, power, timing, and functional outcomes.
Experience Level
Senior-level. Typical background: BS in a relevant technical field with 5+ years experience, or MS with 3+ years experience; equivalent practical experience acceptable.
Responsibilities
Owner of AI-driven tooling and agent workflows applied to ASIC design tasks.
- Develop AI agents and methodologies to generate micro-architecture, RTL, and physical design from specifications.
- Process large codebases and datasets to train and extend agent capabilities and reusable skills.
- Evaluate and apply multi-agent collaboration frameworks to produce area/power/timing/functionally accurate designs for GPU memory subsystems.
- Collaborate with architects, RTL designers, verification and physical design teams to validate outputs and integrate AI workflows into existing flows.
- Define evaluation frameworks and metrics to measure agent accuracy and impact on design quality.
Requirements
Must-have technical skills and experience.
- Direct experience building AI-driven development systems, coding agents, and mapping problems to agentic workflows.
- Experience with AI orchestration/orchestration tools such as LangChain or LlamaIndex and with memory/context management for agents.
- Proven experience with SystemVerilog, RTL, and hardware description languages.
- Practical knowledge of ASIC flows: RTL development, verification, logic synthesis, and timing analysis.
- Familiarity with computer architecture implementation details (caches, arbitration/scheduling, interconnects).
- Strong communication and cross-team collaboration skills.
Education Requirements
BS in Electrical Engineering, Computer Engineering, Computer Science, or a related technical field (with 5+ years experience) OR MS in a related field (with 3+ years experience). The posting allows equivalent practical experience in lieu of a degree.
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.
