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Silicon Domain Architect

Intel·Bengaluru

Pay not stated15–27 yrsFull-timeHybrid

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About the role

The AI Silicon Architecture and Performance Engineering team is responsible for developing and maintaining performance models that enable architecture exploration, design evaluation, scalability analysis, and performance projection for next-generation AI silicon products.

What you'll do

  • Develop, maintain, and enhance SystemC/TLM-based performance models representing critical AI silicon subsystems
  • SoC fabrics and on-chip communication networks
  • Memory controllers and memory subsystem behavior
  • Scale-up controllers and fabrics enabling accelerator-to-accelerator communication within a node, tray, or pod
  • Scale-out controllers and fabrics enabling communication across nodes, racks, and larger AI clusters

What you need

  • 15–27 years in electrical & electronics
  • Python
  • C++
  • Root cause analysis
  • Machine learning
  • LLMs
  • Power BI
  • B.Tech or B.E. or M.Tech

Good to have

  • Tableau
  • Grafana

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Pay
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Source
From the company's careers page · today
How to apply
On Applied Materials' site (Workday): account needed, ~10–15 min
Early: posted 1 h ago on their own site