Senior NPU Architect

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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. Originally posted on Himalayas

EnCharge AI 是边缘到云计算先进 AI 硬件和软件系统的领导者。EnCharge 强大且可扩展的下一代内存计算技术，与当今一流的解决方案相比，可提供数量级更高的计算效率和密度。高性能架构与无缝软件集成相结合，将使 AI 的巨大潜力在功率、能源和空间受限的应用中得以实现。EnCharge AI 于 2022 年成立，由拥有半导体设计和 AI 系统背景的资深技术专家领导。关于该职位 EnCharge AI 正在寻求一位高级 NPU 架构师加入我们的架构团队。在该职位中，您将与 NPU 和系统架构师、硬件工程师以及软件团队组成的团队合作，利用前沿的内存计算技术定义和优化我们 AI 加速器的关键特性。您将为设计一个整体的 AI HW/SW 解决方案做出贡献，该解决方案针对最新的 AI/ML 工作负载（如 LLMs、diffusion models、CNNs 等）在市场上具有最佳的性能和效率。职责 根据工作负载和软件部署流程的需求，定义和开发关键架构模块（如内存计算单元、片上网络和内存编排单元）的规范、架构和微架构 在我们 C++ 仿真框架中为上述关键架构模块的建模做出贡献，以确保特性的功能实现 与设计验证团队合作，为上述模块内架构特性的测试交付策略和基础设施 与软件团队和其他架构师合作，分析关键工作负载下架构模块的性能和效率，识别性能瓶颈，并指导架构决策 紧跟 AI 工作负载、架构和应用的最新趋势和研究，以帮助为未来几代架构定义路径 资格 电气工程、计算机科学或相关领域的学士或硕士学位，具有 5-8 年相关经验。优先：相关领域的博士学位，具有 2-4 年相关经验。理解计算机架构、数字设计和微架构概念 熟悉 AI/ML 算法、框架和工作负载 具有 C/C++ 和 Python 编程经验 具有 HDLs（如 Verilog 或 System Verilog）经验 该职位的薪资范围为每年 180,000 至 240,000 美元（175,000 至 245,000 加元）。实际提供的薪酬将根据与工作相关的知识、技能和经验确定。最初发布于 Himalayas

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