Full-Time

Principal SOC Physical Verification & Integration Specialist

EnCharge AI

EnCharge AI

51-200 employees

Analog in-memory AI hardware and software

No salary listed

Remote in India + 1 more

More locations: Bengaluru, Karnataka, India

Hybrid

Hybrid work arrangement: some on-site in Bangalore; remote options available from India.

Bachelor's, Master's

Category
Hardware Engineering (1)
Required Skills
Python
Perl

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Requirements
  • Experience: 14 + years of hands-on experience in SOC physical design and physical verification, with a proven track record of taping out very large, complex SOCs (e.g., Datacenter, AI accelerators, or High-Performance Compute chips).
  • Technical Domain Expertise: Deep understanding of the entire RTL-to-GDSII flow, with expert-level knowledge of physical integration challenges in flat vs. hierarchical methodologies.
  • Strong foundational understanding of Physical Design and Static Timing Analysis (STA) to effectively communicate with implementation teams and assess the timing impact of PV fixes.
  • Tool Proficiency: Mastery of top-level integration tools (Cadence Innovus).
  • Tool Proficiency: Expertise in physical verification suites (e.g., Siemens Calibre nmDRC/nLVS/PERC, Synopsys IC Validator).
  • Tool Proficiency: Familiarity with chip/package co-design and bump planning tools.
  • Programming/Scripting: High proficiency in Tcl, Python, and/or Perl for EDA flow automation and database manipulation.
  • Education: Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, or a related field.
Responsibilities
  • Top-Level Physical Integration: Drive the full-chip physical assembly of very large-scale SOCs (e.g., multi-billion transistor designs). Manage top-level floorplanning, bump planning, global power grid (PG) integration, and top-level clock/routing integration.
  • Hierarchical Verification Methodology: Architect and deploy highly efficient, hierarchical physical verification (PV) flows. Define the boundary conditions, abstraction models, and interface rules required to assemble heavily partitioned, massive-scale designs.
  • Signoff Execution & Debugging: Own full-chip DRC, LVS, ERC, Antenna, ESD, and Latch-up signoff using industry-standard tools (e.g., Siemens Calibre) at advanced process nodes (5nm, 3nm, or below).
  • Cross-Functional Collaboration: Partner tightly with the Physical Design (PD) and Static Timing Analysis (STA) teams. Proactively resolve integration conflicts—such as top-level routing congestion or interface timing violations—ensuring that physical fixes do not disrupt timing closure.
  • Design Rule Co-Optimization: Work directly with foundry partners to interpret complex design rules and waive or resolve edge-case violations specific to reticle-limit designs.
  • Automation & Flow Development: Develop robust scripts and utilities to automate physical integration tasks, database merging, and PV result parsing to accelerate the tapeout cycle.
Desired Qualifications
  • Experience with multi-die integration, 2.5D/3D packaging, or chiplet-based architectures.
  • Previous experience leading tapeout operations for start-up or fast-paced advanced technology environments.
  • Advanced knowledge of custom layout integration and mixed-signal IP drop-in

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

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Simplify Jobs

Simplify's Take

What believers are saying

  • February 13, 2025 Series B raised over $100 million from Tiger Global and Samsung Ventures.
  • EN100 offers 200+ TOPS in 8.25W, attracting OEMs for on-device AI.
  • CES 2026 highlighted on-device AI demand, directly matching EnCharge's edge-to-cloud pitch.

What critics are saying

  • EnCharge lacks broad commercial shipments; 2025 launch claims still need OEM design wins.
  • NVIDIA, Qualcomm, and Intel dominate client AI silicon, crushing EnCharge's pricing power.
  • If EN100 misses volume production in 2026, EnCharge fails as a hardware startup.

What makes EnCharge AI unique

  • EnCharge's analog in-memory chips perform matrix math inside memory, slashing energy use.
  • EN100 launched May 29, 2025 with M.2 and PCIe forms for laptops, workstations.
  • Princeton roots, Naveen Verma leadership, and 150 patents support technical credibility.

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Benefits

Health Insurance

401(k) Retirement Plan

Remote Work Options

Growth & Insights and Company News

Headcount

6 month growth

-2%

1 year growth

-3%

2 year growth

-4%
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.

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.

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

EnCharge AI raises $100m from Samsung, Foxconn.