Power Architect – AI SOC (Fully Remote)

EnCharge AI, Inc.; United States; Remote; USD 180,000 - 260,000; Full time

Job summary

EnCharge AI is hiring a senior architect to lead SoC power and thermal management, shaping microarchitecture and dataflow strategies. You will collaborate with RTL, physical design, and EDA teams to deliver cutting-edge silicon.

The role demands extensive semiconductor experience and a track record of delivering high-performance silicon within strict PPA constraints. You will influence design choices from early phases to final implementation.

Qualifications

• BS/MS/PhD in Electrical Engineering, Computer Engineering, or related field.
• 12+ years of semiconductor experience with focus on SoC architecture and low-power design.
• Proven track record in delivering high-performance silicon under stringent PPA constraints.

Responsibilities

• Drive SoC-level power and thermal management architecture.
• Influence microarchitecture, memory hierarchies, and dataflows.
• Collaborate with RTL, Physical Design, and EDA teams.

Skills

SoC architecture

Low-power design

Silicon performance under PPA

Cross-team collaboration

Education

BS/MS/PhD in Electrical/Computer Engineering or related field

Job description

• Drive SoC-level power and thermal management architecture.
• Influence microarchitecture, memory hierarchies, and dataflows.
• Collaborate with RTL, Physical Design, and EDA teams.

Qualifications:

• BS/MS/PhD in Electrical Engineering, Computer Engineering, or related field.
• 12+ years of semiconductor experience with focus on SoC architecture and low-power design.
• Proven track record in delivering high-performance silicon under stringent PPA constraints.

Who You Are:

• A critical thinker who understands early architectural impact on silicon physical layout.
• A master collaborator who unites hardware, physical design, and firmware teams.
• An innovator who builds custom methodologies beyond default EDA flows.

EnCharge AI

EnCharge AI develops next-generation AI platforms using novel in-memory-computing architecture. The company is an experienced team of AI researchers, silicon and systems engineers, and architects backed by leading investors.