Staff PDN Lead

EnCharge AI; Bengaluru; Hybrid; INR 2,800,000 - 6,000,000; Full time

Job summary

EnCharge AI seeks a Staff Physical Design Engineer specializing in Power Delivery Network (PDN) design. This role bridges RTL/Systems and final GDSII with a focus on robust PDN architectures for high-performance cores.

You will lead PDN development, conduct IR-drop and EM analyses, and collaborate with RTL/Architecture to optimize bus widths and memory configurations while improving floorplanning workflows. Hybrid Bengaluru location with 2 days onsite/3 days home.

Qualifications

• Core Experience: 7+ years in Physical Design with a proven track record of multiple successful tape-outs at advanced nodes (7nm, 5nm, or 3nm).
• PDN Expertise: Ability to model complex power-up sequences and multi-voltage domains.
• Floorplanning Savvy: Deep proficiency in hierarchical physical design and top-level integration using industry-standard tools (Innovus or IC Compiler II).
• Analysis Skills: Strong understanding of thermal-aware PDN and the physical implications of high-current density paths.
• Scripting: Advanced proficiency in Tcl, Python, or Perl to automate complex floorplanning tasks and data analysis.

Responsibilities

• Architect and implement complex Power Delivery Networks to support high-performance cores while minimizing routing congestion.
• Perform exhaustive IR-drop (Static/Dynamic) and Electromigration (EM) analysis and propose fixes that preserve timing.
• Collaborate with RTL and Architecture teams to influence micro-architecture and memory configurations for better physical outcomes.
• Establish best practices and automated flows for floorplanning and PDN synthesis used by the implementation team.

Skills

PDN design

Floorplanning

IR-drop analysis

Electromigration analysis

Scripting (Tcl/Python/Perl)

Cross-functional collaboration

Thermal-aware PDN

Design thinking

Education

B.Tech in Electrical/Electronic Engineering

Tools

Innovus

IC Compiler II

Job description

Location : Bangalore-Hybrid /2 days to work/3 days home

Staff/Senior Staff Physical Design Floorplan & PDN Lead

EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing. EnCharge’s robust and scalable next‑generation in‑memory computing technology provides orders‑of‑ magnitude higher compute efficiency and density compared to today’s best‑in‑class solutions. The high‑performance architecture is coupled with seamless software integration and will enable the immense potential of AI to be accessible in power, energy, and space constrained applications. EnCharge AI launched in 2022 and is led by veteran technologists with backgrounds in semiconductor design and AI systems.

Staff PDN Satff

Experience: 7–10 Years

Location: Bangalore/2 days to work/3 days home

Department: RTL-to-GDSII / Physical Implementation

Role Overview

We are seeking a high-caliber Staff Physical Design Engineer with a specialized mastery of Power Delivery Network (PDN) design. You won’t just be pushing buttons; you will be the architectural bridge between RTL/Systems and the final GDSII.

• Strategic PDN Design: Architect and implement complex Power Delivery Networks. You will define the metal stack usage and grid density to support high-performance cores while minimizing routing congestion.
• EMIR Mastery: Perform exhaustive IR-drop (Static/Dynamic) and Electromigration (EM) analysis. You must be able to diagnose root causes and propose architectural or physical fixes that don't compromise timing.
• Cross-Functional PPA Trade-offs: Collaborate directly with RTL and Architecture teams. You will use "Design Thinking" to influence the micro-architecture, suggesting changes to bus widths, pipeline stages, or memory configurations to optimize physical outcomes.
• Methodology Development: Establish best practices and automated flows for floorplanning and PDN synthesis to be used by the wider implementation team.

Technical Requirements

• Core Experience: 7+ years in Physical Design with a proven track record of multiple successful tape-outs at advanced nodes (7nm, 5nm, or 3nm).
• PDN Expertise:Ability to model complex power-up sequences and multi-voltage domains.
• Floorplanning Savvy: Deep proficiency in hierarchical physical design and top-level integration using industry-standard tools (Innovus or IC Compiler II).
• Analysis Skills: Strong understanding of thermal-aware PDN and the physical implications of high-current density paths.
• Scripting: Advanced proficiency in Tcl, Python, or Perl to automate complex floorplanning tasks and data analysis.

Behavioral Attributes

• Critical Thinker: You don't just follow a recipe. You question constraints and look for "hidden" PPA gains.
• Design Thinking: Ability to empathize with the challenges of upstream (RTL) and downstream (Sign-off) teams to create a holistic solution.
• Influence: You can articulate technical trade-offs to stakeholders,

Education

• B.Tech/M.Tech in Electrical/Electronic Engineering or equivalent.