Full-Time

Staff/Senior Staff Physical Design Floorplan & PDN Lead

EnCharge AI

EnCharge AI

51-200 employees

Analog in-memory AI hardware and software

No salary listed

Bengaluru, Karnataka, India

Hybrid

Hybrid role; 2 days on-site per week in Bangalore.

Category
Electrical Engineering (1)
Required Skills
Python
Perl
Requirements
  • Ten or more years of experience in Physical Design with a proven track record of multiple successful tape-outs at advanced nodes such as seven nanometer, five nanometer, or three nanometer.
  • Ability to model complex power-up sequences and multi-voltage domains for Power Delivery Network design.
  • Deep proficiency in hierarchical physical design and top-level integration using industry-standard tools such as Innovus or IC Compiler II.
  • Strong understanding of thermal-aware Power Delivery Network implications of high-current density paths.
  • Advanced proficiency in Tcl, Python, or Perl to automate complex floorplanning tasks and data analysis.
  • B.Tech or M.Tech in Electrical Engineering or Electronic Engineering or equivalent.
Responsibilities
  • Lead chip-level floorplanning, including macro placement, pin assignment, and partition definition for multi-million gate designs.
  • Architect and implement complex Power Delivery Networks, defining metal stack usage and grid density to support high-performance cores while minimizing routing congestion.
  • Perform exhaustive IR-drop (Static and Dynamic) and Electromigration analysis, diagnose root causes, and propose architectural or physical fixes that do not compromise timing.
  • Collaborate directly with RTL and Architecture teams, using Design Thinking to influence micro-architecture by suggesting changes to bus widths, pipeline stages, or memory configurations to optimize physical outcomes.
  • Establish best practices and automated flows for floorplanning and PDN synthesis to be used by the wider implementation team.
Desired Qualifications
  • None

EnCharge AI develops hardware and software for artificial intelligence computation, ranging from edge devices to cloud servers. The company utilizes analog in-memory computing through chiplets, ASICs, and PCIe cards to process AI tasks directly within memory, which reduces the power and space required for complex calculations. Unlike competitors using traditional digital methods, EnCharge AI offers significantly lower CO2 emissions and a lower total cost of ownership by integrating its specialized technology into the existing semiconductor supply chain. The company's goal is to democratize advanced AI by making it economically viable and sustainable for businesses to solve large-scale human challenges.

Company Size

51-200

Company Stage

Series B

Total Funding

$162.9M

Headquarters

Santa Clara, California

Founded

2022

Simplify Jobs

Simplify's Take

What believers are saying

  • $144M Series B from Tiger Global and Samsung Ventures funds 2025 EN100 commercialization.
  • RTX Ventures investment unlocks defense contracts needing low SWaP AI solutions.
  • Recent hires of Jason Huang and Leslie Szeto prepare for IPO-scale growth.

What critics are saying

  • Analog noise sensitivity delays EN100 commercialization beyond 2025 benchmarks.
  • Mythic captures edge AI market with proven chips shipping since 2023.
  • TSMC delays from Nvidia overload push EnCharge production past 2025 targets.

What makes EnCharge AI unique

  • EnCharge AI uses charge-domain analog in-memory computing with metal capacitors for 20x efficiency gains.
  • EN100 accelerator delivers 200 TOPS at 40+ TOPS/W on 16nm for laptops and workstations.
  • Scalable chiplets, ASICs, and PCIe cards integrate into existing semiconductor supply chains.

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Benefits

Health Insurance

401(k) Retirement Plan

Remote Work Options

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

0%

2 year growth

-2%
Electronics For You
Sep 23rd, 2025
Run Advanced AI Locally On Laptops and Workstations

EnCharge AI has introduced the EN100 accelerator to run AI inference directly on local devices.

StartupHub.ai
May 31st, 2025
EnCharge AI Raises $144M for Chips

EnCharge AI, an AI chip startup from Princeton University, has raised $144 million to advance its analog in-memory computing technology. Their EN100 AI accelerator chip offers improved performance per watt, enabling advanced AI on laptops and edge devices while reducing energy use. The funding will help expand their technology and software suite. Investors include Tiger Global, Samsung Ventures, and others. The company is poised for growth in the AI PC and edge device market.

The Associated Press
Apr 17th, 2025
EnCharge AI Expands Leadership After $100M Series B

EnCharge AI has appointed Jason Huang as VP of Finance and Leslie Szeto as Director of HR following a $100 million Series B funding round. Huang will enhance financial strategy for growth, while Szeto will focus on talent acquisition and organizational development. These hires support EnCharge's transition from development to commercialization of its AI accelerator products. Huang and Szeto bring extensive experience in high-growth transitions, IPOs, and acquisitions.

TechNews
Feb 18th, 2025
EnCharge AI secures $100M for AI chip

EnCharge AI has secured over $100 million in a Series B funding round, bringing its total funding to over $144 million. The company is developing a new AI accelerator chip that aims to match desktop GPU performance with only 1% of the power consumption. Their chip, which uses analog capacitors for computation, is expected to launch later this year for mobile devices, PCs, and workstations, with commercialization planned for 2025.

eeNews Europe
Feb 14th, 2025
EnCharge AI raises $100m from Samsung, Foxconn

EnCharge AI raises $100m from Samsung, Foxconn.