---
title: 'Senior NPU Architect at EnCharge AI'
canonical: 'https://feeny.ai/job/senior-npu-architect-encharge-ai-us-26cbt9x42hk2'
type: 'job'
last_seen: '2026-10-24'
---

# Senior NPU Architect at EnCharge AI

- **Company:** EnCharge AI
- **Location:** Us-, Canada
- **Work type:** remote
- **Posted:** 2026-05-20
- **Last confirmed live:** 2026-10-24
- **Apply:** https://job-boards.greenhouse.io/enchargeai36/jobs/4254543009

## Job description

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.

## About the Role

EnCharge AI is seeking a Senior NPU Architect to join our Architecture Team. In this role, you will collaborate with a team of NPU and system architects, hardware engineers, and software teams to define and optimize key features in our AI accelerator with the cutting-edge in-memory computing technology. You will contribute to designing a holistic AI HW/SW solution that has the best performance and efficiency on the market for the latest AI/ML workloads, such as LLMs, diffusion models, CNNs, and more.

## Responsibilities

- Define and develop the spec, architecture, and micro-architecture of key architecture modules (such as the in-memory compute unit, on-chip network, and memory orchestration units) based on the requirements of the workloads and software deployment flow
- Contribute to the modeling of aforementioned key architecture modules in our C++ simulation framework to ensure a functional implementation of the features
- Collaborate with the design verification team to deliver a strategy and infrastructure for the testing of the architecture features within said modules
- Work with the software team and other architects to analyze the performance and efficiency of the architecture modules for key workloads, identify performance bottlenecks, and guide architectural decisions
- Stay up to date with the latest trends and research in AI workloads, architectures, and applications to help define a path for the future generations of architectures

## Qualifications

- BS or MS in EE, CS, or a related field with 5-8 years of relevant experience. Preferred: Ph.D. in a related field with 2-4 years of relevant experience.
- Understanding in computer architecture, digital design, and micro-architecture concepts
- Familiarity with AI/ML algorithms, frameworks, and workloads
- Programming experience in C/C++ and Python
- Experience with HDLs such as Verilog or System Verilog

The salary range for this position is $180,000 to $240,000 USD ($175,000 to $245,000 CAD) per year. Actual compensation offered will be determined based on job-related knowledge, skills, and experience.

## About EnCharge AI

## Company Overview
- **One-liner**: EnCharge AI develops analog in-memory computing hardware and software to deliver high-efficiency, low-cost AI inference from edge devices to cloud data centers.
- **Entity Type**: Private (Series B – II stage)
- **Headquarters**: Santa Clara, California, United States
- **Founded**: 2022
- **Founders**: Naveen Verma, Ph.D. (CEO) and Kailash Gopalakrishnan, Ph.D. (CTO)

## Core Business
- **Primary industry**: AI semiconductor hardware and embedded software products
- **Target customers**: B2B – enterprises deploying AI at scale, edge-device manufacturers, cloud service providers, and defense/industrial sectors
- **Mission**: Democratize advanced AI by enabling deployment beyond cloud infrastructure to local servers and mobile devices, while slashing costs and environmental impact

## Products & Services
- **Analog In-Memory Computing GPUs & Digital AI Accelerators**: Custom silicon (chiplets, ASICs) and standard-form-factor PCIe cards that perform AI inference using analog computation for orders-of-magnitude better energy efficiency and compute density.
- **Software Stack**: Seamless orchestration layer that supports on-device and cloud deployment, enabling model portability, quantization, and compiler optimizations across EnCharge’s hardware.
- **Edge-to-Cloud Platforms**: Integrated solutions for power-, space-, and cost-constrained environments, covering autonomous systems, smart devices, data center inference, and private on-premise AI.

## Market Standing
- **Valuation / Market Cap**: Not publicly disclosed
- **Key Metrics**: Annual Revenue ~$10M (LinkedIn estimate) | Total Funding $162.9M
- **Notable Investors & Partners**: Tiger Global Management (led $100M Series B, Mar 2025), Anzu Partners (led $21.7M Series A, Dec 2022), DARPA ($18.6M grant, Mar 2024), and others including corporate/institutional backers.
- **Growth Signals**: 
  - 58.6% YoY headcount growth (75 employees, as of mid-2025)
  - 39 active job openings spanning hardware, compiler, and AI architecture roles
  - 150+ patents granted, 300+ technical publications
  - Talent inflows from Intel, IBM, Cerebras, AMD, Meta, Microsoft

## Competitive Advantages
- **Analog In-Memory Computing Moa**t: A proprietary compute architecture that uses charge-domain analog circuits, validated silicon, and leverages existing semiconductor supply chains.
- **Record Efficiency**: Claims 20× higher TOPS/W, 9× higher compute density (TOPS/mm²), 10× lower total cost of ownership, and 100× lower CO₂ emissions compared to leading cloud/GPU alternatives.
- **Deep IP Portfolio**: 150+ granted patents and 300+ publications from 20+ years of foundational research by the founding team (Princeton, IBM, etc.).
- **End-to-End Solution**: Full-stack hardware and software (compiler, quantization, runtime) designed for seamless edge-to-cloud orchestration without vendor lock-in.

## Strategic Focus
- Scale production and customer deployments of their analog in-memory compute chips for high-volume edge and data center inference.
- Expand software ecosystem to support mainstream AI frameworks (PyTorch, TensorFlow, ONNX) and enable easy drop-in replacement for existing GPU-accelerated workloads.
- Deepen partnerships with defense (DARPA) and enterprise cloud providers, emphasizing data privacy, security, and sustainability.
- Double down on sustainability messaging (100× lower CO₂) to meet ESG mandates in enterprise AI procurement.

## Why Work Here
- **Mission-Driven Impact**: Opportunity to make AI accessible to the “99%” by dramatically reducing energy and cost barriers. Work is cited as a “once-in-a-lifetime” chance by leadership.
- **World-Class Team**: Colleagues include industry luminaries from Princeton, IBM, and top semiconductor houses; 57% of staff are in technical roles (engineering, research, compiler).
- **Culture of Collaboration & Innovation**: The careers page highlights integrity, growth, and collaborative problem-solving in a fast-paced startup environment.
- **Comprehensive Rewards**: Benefits package includes typical startup perks; equity likely offered given funding stage.
- **Work Policy**: Hybrid presence indicated by offices in Santa Clara, Canada, Germany, Norway, South Korea, and India. Remote flexibility likely for some roles.
- **Active Hiring**: 39 open positions across DFT, physical design, compiler engineering, and NPU architecture – strong signal of scaling and technical investment.

## Sources
1. [EnCharge AI Official Website](https://www.enchargeai.com/)
2. [EnCharge AI Careers Page](https://www.enchargeai.com/careers)
3. [EnCharge AI About Us (Leadership & Founders)](https://www.enchargeai.com/about-us)
4. [EnCharge AI LinkedIn Company Page](https://www.linkedin.com/company/encharge-ai)
5. [CB Insights Profile – EnCharge AI](https://www.cbinsights.com/company/encharge-ai)

## Other roles at EnCharge AI

- [Power Architect – AI SOC](https://feeny.ai/job/power-architect-ai-soc-encharge-ai-india-0wp4dnqt2nfc) — India
- [AI Software Engineer, Agent Harness](https://feeny.ai/job/ai-software-engineer-agent-harness-encharge-ai-india-1x9d8dvk3xvj) — India
- [Staff Physical Design Engineer](https://feeny.ai/job/staff-physical-design-engineer-encharge-ai-us-vva2w6eepdbk) — Us-, Canada
- [Technical Program Manager - Embedded Software](https://feeny.ai/job/technical-program-manager-embedded-software-encharge-ai-united-states-w18v49ve3s0r) — United States
- [Principal Solutions Engineer](https://feeny.ai/job/principal-solutions-engineer-encharge-ai-united-states-vgghgxj68g9h) — United States
- [Lead DFT Engineer](https://feeny.ai/job/lead-dft-engineer-encharge-ai-canada-united-states-q4ggksnf4q7g) — Canada / United States
- [Senior PD Engineer: Synthesis & STA](https://feeny.ai/job/senior-pd-engineer-synthesis-sta-encharge-ai-bengaluru-wfbtaq6984et) — Bengaluru, India
- [Senior Staff / Principal SOC Floorplan Lead](https://feeny.ai/job/senior-staff-principal-soc-floorplan-lead-encharge-ai-bengaluru-5rjzbdmx1e0r) — Bengaluru, India
- [Staff Engineer: STA Methodology & Sign-off Lead](https://feeny.ai/job/staff-engineer-sta-methodology-sign-off-lead-encharge-ai-bengaluru-dnr9280vbw00) — Bengaluru, India
- [Principal SOC Physical Verification & Integration Specialist](https://feeny.ai/job/principal-soc-physical-verification-integration-specialist-encharge-ai-bengaluru-z28meksf9r5v) — Bengaluru, India