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EnCharge AI

Senior Staff / Principal SOC Floorplan Lead

Bengaluru, India

Location
Bengaluru, India
Work
Not stated
Employment
Not stated
Level
Lead / staff
Function
Other
Pay
Not stated
Posted
3 months ago

About the role

The Role

We are seeking a highly skilled and hands-on SoC Floorplan Lead to own the physical foundation of our next-generation AI and Data Center SoCs. In this critical role, you will be the bridge between architecture, logic design, and physical design. You will work hand-in-hand with Chip Architects and RTL Leads to influence micro-architecture and ensure the physical implementation achieves best-in-class Power, Performance, and Area (PPA).

If you love solving complex spatial puzzles on advanced technology nodes, integrating sensitive analog components, and driving execution in a high-energy start-up environment, this is the role for you.

Key Responsibilities

  • Top-Level Floorplanning: Own the SoC-level floorplan from concept to tape-out for high-performance, large-scale AI/Data Center chips on advanced process nodes (e.g., 5nm, 3nm or below).
  • Architecture & RTL Collaboration: Partner closely with Architecture and RTL teams to provide early physical feasibility feedback. Drive block partitioning, shape optimization, and data-flow planning to achieve the absolute best PPA.
  • Bump & Package Co-Design: Lead bump planning and IO ring definition. Work with packaging teams on flip-chip/advanced packaging constraints, ensuring optimal signal escape and power delivery.
  • Custom & Analog Routing: Manage the placement and custom routing strategies for critical Analog/Mixed-Signal (AMS) IPs, high-speed SerDes (PCIe, Ethernet, Memory interfaces), PLLs, and sensitive clock distributions.
  • Power Delivery Network (PDN): Design and analyze the top-level power grid, ensuring robust power delivery for high-current AI workloads while minimizing IR drop.
  • Pin Assignment & Feedthroughs: Manage macro placement, block-level pin assignments, and top-level feedthrough planning to optimize global timing and routing congestion.
  • Methodology Development: Build and maintain scalable Floorplanning workflows and scripts (Tcl, Python) tailored for a lean, fast-moving start-up team.

Required Skills & Qualifications

  • Experience: 12 + years of hands-on experience in Physical Design SoC Floor planning preferably in Datacenter domain, with at least 3 years acting as a lead or primary owner of SoC-level Floorplanning.
  • Domain Expertise: Proven track record of taping out large, complex chips—specifically for Data Center, Networking, or AI/Machine Learningapplications.
  • Start-Up Mentality: Highly driven, self-motivated, and comfortable with ambiguity. You take extreme ownership of your domain, pivot quickly when needed, and roll up your sleeves to get things done.
  • Technical Depth:
  • Deep understanding of how RTL structures and architectural decisions impact physical design PPA.
  • Extensive experience with bump planning, flip-chip package requirements, and die-to-package co-optimization.
  • Strong knowledge of analog/mixed-signal IP integration, shielding, and custom routing constraints.
  • Expertise with industry-standard physical design tools ( Cadence Innovus).
  • Education: BS, MS, or Ph.D. in Electrical Engineering, Computer Engineering, or a related field.

Preferred Qualifications

  • Experience with multi-die / chiplet integration (2.5D, 3D packaging, interposers, UCIe).
  • Strong scripting and automation skills (Tcl, Python, Perl, Makefile).
  • Knowledge of advanced clocking architectures (H-trees, meshes) for highly synchronous AI fabrics.

What We Offer

  • Impact: The opportunity to build ground-up architecture and see your ideas taped out in cutting-edge silicon.
  • Equity: Competitive start-up equity packages—when the company wins, you win.
  • Culture: A flat, collaborative, and bureaucracy-free environment surrounded by top-tier industry veterans.

Source

Posted by EnCharge AI on their own hiring page, job-boards.greenhouse.io. OptiTalent shows it as published, read 07 Nov 2026 03:13 UTC; the original is the reference.

View the original ad ↗

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