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Powerlattice

Integrated power-delivery chiplet for compute

Senior or Staff Hardware Design Engineer

Full-Time
$150k - $200k/yr+ Stock option grant
Senior
Master's, PhD
Chandler, AZ, USA
In Person
Hardware EngineeringBoard & Electronics Design, Hardware Systems Integration

About the job

Requirements
  • A Master of Science or Ph.D. in electrical engineering or a related field is required.
  • At least 5 years of hands-on hardware system design experience is required.
  • Proven experience as a technical lead or system lead is required.
  • Experience working with supply chain vendors is required.
  • Demonstrated leadership and mentorship capabilities are required.
Responsibilities
  • Define and drive overall hardware system architecture and top-level specifications.
  • Lead hardware system design and system integration.
  • Perform high-level feasibility analysis and risk assessment.
  • Review and approve hardware designs to ensure architectural alignment.
  • Drive system bring-up strategy and debug execution.
  • Perform hardware system design.
  • Conduct schematic design, simulation, analysis, and optimization to meet performance targets.
  • Provide PCB layout guidance and collaborate closely with PCB layout engineers to ensure design intent is met.
  • Collaborate with PI/SI engineers to ensure proper PDN performance.
  • Participate in design reviews and contribute to design documentation.
  • Participate in silicon bring-up, characterization, and debugging.
  • Follow best practices for hardware system design, verification, and signoff.
Desired Qualifications
  • Experience in server motherboard design.
  • Familiarity with power delivery design and component choice for high-performance server systems.
  • Good communication skills and ability to work in a collaborative team environment.

About the company

PowerLattice designs power delivery chiplets that attach to the processor package and regulate voltage directly at the compute die. The monolithic chiplet combines on-die magnetic inductors, voltage control circuits, vertical packaging, and a programmable software layer on a single silicon die, bringing power delivery closer to the cores. This approach reduces total compute power by over 50% and can double performance while easing cooling, and it is scalable for AI accelerators, GPUs, and data-center processors. The company sells these chiplets to hyperscalers, OEMs, and system integrators, with early trials planned for 2026, aiming to improve energy efficiency and compute performance through near-die, integrated power regulation.

Company Size

11-50

Company Stage

Series A

Total Funding

$25M

Headquarters

Vancouver, Washington

Founded

2023

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Simplify's Take

What believers are saying

  • The company raised $25 million in November 2025, totaling $31 million for expansion.
  • Management claims the chiplet cuts compute power needs by over 50%, a powerful buyer pitch.
  • 2026 hiring in analog, packaging, and SoC roles signals active productization and customer readiness.

What critics are saying

  • PowerLattice still relies on unnamed pilot customers, with broader trials only slated for first-half 2026.
  • ADI bought Empower Semiconductor in 2026, intensifying competition from better-funded vertical power rivals.
  • If yields, thermal limits, or customer adoption stall, PowerLattice becomes a stranded chiplet vendor.

What makes Powerlattice unique

  • Pat Gelsinger joined the board after PowerLattice's November 2025 stealth exit.
  • PowerLattice integrates voltage regulation into the processor package, reducing power loss dramatically.
  • TSMC is producing first chiplets, proving the design moved beyond concept.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

Stock Options

Hybrid Work Options

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

-11%

2 year growth

-11%
Business Wire
Nov 18th, 2025
PowerLattice Raises $25 Million to Break the AI Power Wall

PowerLattice raised $25M led by Playground Global and Celesta. The company’s chiplet cuts compute power needs by >50%, breaking the "AI power wall."