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Power Management Architect

Summary

Architects power management for an AI-focused SoC, defining power domains, DVFS, and thermal strategies to optimize performance and energy efficiency in silicon.

You own the power architecture of a Physical AI SoC, defining power domains, voltage and frequency scaling, power states, and power delivery. You establish power and energy budgets, architect power-control subsystems, embed power intent into design flows, and validate power and thermal management through silicon bring-up.

Responsibilities

  • Own the SoC power architecture
  • Define power domains, DVFS strategy, power states, and the power delivery network
  • Define dynamic and static power management techniques
  • Establish power and energy budgets across use cases
  • Drive power, performance, and area trade-offs
  • Architect the on-die power management and control subsystem
  • Define firmware and software policies for power management
  • Embed power intent into the design flow and validate it through silicon bring-up
  • Define power and thermal management for sustained operation
  • Establish power architecture standards, modeling methodology, and review practices

Requirements

  • 8+ years in power management, mixed-signal, or SoC architecture
  • Significant experience defining power architecture for shipping silicon or embedded platforms
  • Deep expertise in multiple power domains, DVFS, clock and power gating, adaptive voltage scaling, retention, and power state management
  • Strong understanding of power delivery networks, PMICs, voltage regulation, thermal constraints, and package constraints
  • Hands-on experience with UPF/CPF and power modeling and analysis
  • Experience defining and validating power management policies across silicon design, firmware, and platform software
  • Bachelor’s or advanced degree in Electrical Engineering, Computer Engineering, or a related field, or equivalent practical experience
  • Excellent written and verbal communication skills
  • Experience optimizing power for AI/ML accelerators or NPUs
  • Familiarity with robotics, automotive, mobile, or other power-constrained domains
  • Experience with energy-aware software, thermal management, and silicon power characterization

Benefits

  • Performance-based incentives
  • Equity participation
  • Medical coverage
  • Dental coverage
  • Vision coverage
  • Paid time off
  • Flexible work arrangements
  • Professional development opportunities

See also

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