GPU Design Implementation Methodology Engineer
Core
Develop and drive advanced design methodologies, infrastructure, and automation for synthesis, Static Timing Analysis (STA), power, and physical design using AI methodologies to improve Power, Performance, and Area (PPA) in GPU silicon.
Role type
Senior IC methodology engineer (ASIC/GPU)
Builds
Scalable design infrastructure, automation frameworks, and reusable methodologies for GPU ASIC implementation.
Domain
Semiconductor / VLSI / GPU Design
Deliverable
production ML models
Required skills
Python/TCL scripting, ASIC implementation flows, RTL synthesis, STA, power analysis, physical design, data analytics, debugging, AI/LLM framework development
Preferred skills
EDA tool expertise, design-data analytics, clock structure analysis, AI agent workflows, advanced-node VLSI challenges
Technologies
Python, TCL, EDA tools, AI/LLM frameworks
Responsibilities
Develop scalable design infrastructure and automation; apply methodologies to real design challenges for PPA improvements; collaborate with synthesis, STA, physical design, and power teams; investigate complex design problems and develop tool-agnostic solutions; translate large volumes of design data into actionable insights; develop agentic framework workflows for engineering analysis.
Seniority
Senior, hands-on IC
