Senior ASIC AI Engineer for High-Performance GPU Design

Anysilicon

Santa Clara (CA)

Hybrid

USD 180,000 - 240,000

Full time

37 hours ago
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Job summary

NVIDIA is seeking a Senior ASIC AI Engineer to advance GPU design flows by developing high-performance Agentic AI systems that help translate specifications into usable micro-architecture, RTL and physical designs.

You will collaborate with architects, hardware and physical-design engineers to validate AI-driven methods, analyze large datasets with AI agents, and push multi-agent frameworks to improve timing, verification and overall ASIC flow.

Qualifications

  • BS 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, including coding agents and Agentic workflows.
  • Proficiency in AI orchestration tools like LangChain or LlamaIndex and reasoning methodologies.
  • Experience with SystemVerilog, RTL, and hardware description languages.
  • Understanding of ASIC flow, including RTL, verification, logic synthesis, and timing analysis.

Responsibilities

  • Develop AI-powered methods and agents for micro-architecture, RTL, and physical design.
  • Use AI agents to analyze datasets and codebases to create reusable skills.
  • Evaluate multi-agent frameworks for generating accurate GPU memory designs.
  • Collaborate with architects and hardware/physical design teams to meet goals.
  • Identify opportunities to integrate AI workflows into existing design processes.

Skills

AI workflows
Agentic development
SystemVerilog
RTL design

Education

Bachelor's degree in Electrical/Computer Engineering or related
Master's degree in Electrical/Computer Engineering or related

Tools

LangChain
LlamaIndex

Job description

NVIDIA is seeking a Senior ASIC AI Engineer to advance GPU design flows by developing high-performance Agentic AI systems that help translate specifications into usable micro-architecture, RTL and physical designs.

You will collaborate with architects, hardware and physical-design engineers to validate AI-driven methods, analyze large datasets with AI agents, and push multi-agent frameworks to improve timing, verification and overall ASIC flow.

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