Senior NPU Architect

🕒 May 20

🇺🇸 United States – Remote

💵 $180k - $240k / year

⏰ Full Time

🟠 Senior

🏛️ Architect

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 5%

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EnCharge AI

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2022

🤖 Artificial Intelligence

🔧 Hardware

🤝 B2B

💰 $100M Series B - EnCharge AI on 2025-02

Artificial Intelligence • Hardware • B2B

EnCharge AI is a company that develops analog in-memory computing hardware and complementary software to accelerate on-device and edge-to-cloud AI workloads. Their technology includes the EN100 analog AI accelerator and other form factors (chiplets, ASICs, PCIe cards) designed to deliver much higher energy efficiency, compute density, and lower total cost of ownership for inference compared with conventional GPUs and digital accelerators. EnCharge emphasizes sustainability, data privacy through local processing, and deployment for enterprise and developer customers seeking efficient, scalable AI computation outside traditional cloud infrastructure.

📋 Description

• 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

🎯 Requirements

• 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