Staff PDN Lead

EnCharge AI, Inc.; India; Hybrid; INR 4,000,000 - 7,000,000; Full time

Job summary

EnCharge AI, Inc. seeks a Staff Physical Design Engineer with PDN expertise to bridge RTL/systems and GDSII. You will architect complex PDN, manage IR-drop and EM analyses, and collaborate with RTL/Architecture to optimize PPA while driving automation in floorplanning flows.

Ideal candidates have 7+ years of PDN experience, proficiency in Innovus or IC Compiler II, and strong scripting skills (Tcl/Python/Perl). Location is Bangalore with hybrid/remote flexibility across India.

Qualifications

• 7+ years in Physical Design with multiple tape-outs at 7nm/5nm/3nm nodes.
• Strong PDN expertise and ability to model power-up sequences across multi-voltage domains.
• Deep floorplanning skills and top-level integration with RTL-to-GDSII.
• Knowledge of thermal-aware PDN implications and high-current density paths.
• Advanced scripting in Tcl, Python or Perl to automate floorplanning tasks.

Responsibilities

• Architect and implement complex Power Delivery Networks for high-performance cores.
• Perform IR-drop and electromigration analyses and propose fixes without timing loss.
• Collaborate with RTL and Architecture teams to optimize physical outcomes.
• Develop automated flows and best practices for floorplanning and PDN synthesis.

Skills

PDN design

Tape-out experience

Scripting (Tcl/Python/Perl)

Thermal-aware PDN

Education

B.Tech/M.Tech in Electrical/Electronic Engineering

Tools

Innovus

IC Compiler II

Job description

Location : Bangalore-Hybrid /2 days to work/3 days home/Remote-any where in India

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 / any where in India

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.