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EnCharge AI

Analog in-memory AI hardware and software

Staff/Senior Staff Physical Design Floorplan & Power Delivery Network Lead

Silicon & ASIC DesignConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listed

About the Job

Requirements

  • At least 10 years of Physical Design experience and a proven track record of multiple successful tape-outs at advanced nodes (7nm, 5nm, or 3nm).
  • Ability to model complex power-up sequences and multi-voltage domains.
  • Deep proficiency in hierarchical physical design and top-level integration using Innovus or IC Compiler II.
  • Strong understanding of thermal-aware PDN and the physical implications of high-current density paths.
  • Advanced proficiency in Tcl, Python, or Perl to automate complex floorplanning tasks and data analysis.
  • Ability to question constraints and identify potential PPA gains.
  • Ability to understand upstream RTL and downstream sign-off team challenges and develop holistic solutions.
  • Ability to articulate technical trade-offs to stakeholders.
  • B.Tech or M.Tech in Electrical/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; define metal stack usage and grid density to support high-performance cores while minimizing routing congestion.
  • Perform static and dynamic IR-drop and electromigration analysis, diagnose root causes, and propose architectural or physical fixes that do not compromise timing.
  • Collaborate with RTL and architecture teams on PPA trade-offs, influencing micro-architecture through recommendations on bus widths, pipeline stages, or memory configurations.
  • Establish best practices and automated flows for floorplanning and PDN synthesis for the wider implementation team.
  • Own chip-top floorplanning for complex, large-scale SoCs or sub-chips and drive strategies balancing performance targets with power integrity.

About the Company

EnCharge AI

Analog in-memory AI hardware and software

EnCharge AI designs and sells AI-accelerating hardware and software for edge-to-cloud workloads, focusing on analog in-memory computing. Its products include chiplets, ASICs, PCIe cards, and flexible software that integrates across platforms. The approach uses semiconductor design to implement analog in-memory computing for fast AI processing with lower power and smaller footprint, compatible with existing systems. Compared with competitors, it prioritizes sustainability with lower CO2 emissions and total cost of ownership, backed by a leadership team with 20+ years in AI hardware and a track record of 350 million chips shipped, 150 patents, and 300 publications, and aims to democratize advanced AI by making it affordable and environmentally sustainable.

Company size
51-200
Company stage
Series B
Total funding
$162.9M
Headquarters
Santa Clara, CA
Founded
2022

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