Senior Asic AI Engineer

NVIDIA NVIDIA · Semiconductors · Santa Clara, CA

Develop AI powered methodologies and Agents to generate micro-architecture, RTL, and physical design starting with specification, using AI agents to process large data and existing codebase to generate skills that can be widely used. Evaluate latest Multi-agent collaboration frameworks and apply them to generate area/power/timing/functionally accurate designs for memory system units in the GPU.

What you'd actually do

  1. Develop AI powered methodologies and Agents to generate micro-architecture, RTL, and physical design starting with specification.
  2. Using AI agents to process large data and existing codebase to generate skills that can be widely used.
  3. Evaluate latest Multi-agent collaboration frameworks and apply them to generate area/power/timing/functionally accurate designs for memory system units in the GPU
  4. Collaborate with architects, hardware engineers, and physical design engineers to accomplish your goals.
  5. Find opportunities to integrate AI workflows into existing flows.

Skills

Required

  • BS (or equivalent experience) in Electrical Engineering, Computer Engineering, or related fields with 5+ years of experience, or MS with 3+ years of relevant experience.
  • Direct experience with AI-driven development such as coding agents and Agentic workflows.
  • Ability to map a problem to AI workflows.
  • Proficiency in AI orchestration tools like LangChain or LlamaIndex and reasoning methodologies.
  • Knowledgeable in memory and context management, evaluation frameworks to measure agent accuracy.
  • Experience with System Verilog, RTL and hardware description language.
  • A good understanding of ASIC flow including RTL, verification, logic synthesis, timing analysis.
  • Familiarity with computer architecture concepts and implementation of caches, arbitration and scheduling polices and interconnects.

Nice to have

  • Strong interpersonal and communication skills to collaborate across teams.

What the JD emphasized

  • Direct experience with AI-driven development such as coding agents and Agentic workflows
  • Ability to map a problem to AI workflows
  • Proficiency in AI orchestration tools like LangChain or LlamaIndex and reasoning methodologies
  • Knowledgeable in memory and context management, evaluation frameworks to measure agent accuracy

Other signals

  • AI agents for RTL generation
  • Multi-agent collaboration frameworks
  • AI orchestration tools