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Sr. Staff Power Performance Architect

d-Matrix · Santa Clara

Infrastructureremotestaff$165k–$265k
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At a glance

Highlights

  • Own pre-silicon power estimation for next-generation AI accelerators.
  • Build architectural power estimation tool modeling AI workloads.
  • Partner across architecture to silicon bring-up to boost efficiency.

What they offer

  • equity
  • bonus

Ideal candidate

A humble, execution-driven architect energized by hard AI infrastructure problems who partners closely across teams to balance performance and power efficiency.

Requirements

  • 8+ years in IC power/performance architecture, RTL, or physical design
  • Master's in Electrical Engineering, Computer Engineering, or Computer Science
  • Understanding of power, performance, micro-architecture, RTL and physical design
  • Knowledge of full IC design flow from architecture to HVM
  • Familiarity with EDA power estimation tools
  • Programming proficiency in TCL and Python with automation scripting

Lab profile

About d-Matrix

Pioneers memory-centric compute-in-memory chips and software for faster, energy-efficient AI inference.

What they build

  • Digital in-memory compute inference chips
  • Rack-scale AI inference systems
  • AI inference software stack

Known for

  • Compute-in-memory architecture
  • Energy-efficient inference design
  • Full-stack chips-to-systems expertise

Key facts

  • Founded in 2019
  • Headquartered in Santa Clara, California
  • Backed by Temasek, Playground Global, and M12
More about d-Matrix →
Apply on the lab’s site ↗

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