平头哥平头哥-边缘AI芯片解决方案工程师-上海
社招全职5年以上技术-芯片地点:上海状态:招聘
任职要求
1. 计算机科学、电子工程、微电子、自动化等相关专业硕士及以上学历。 2. 具备5年以上嵌入式系统/SoC系统/AI系统架构设计经验,深入理解AI芯片的架构原理,了解算力、内存带宽、功耗等核心指标及其对系统设计的影响。 3. 具备端到端系统架构设计能力,包括系统拓扑设计、模块划分、接口定义;有SDK/API架构设计或需求定义经验,理解开发者生态和二次开发需求。 4. 熟悉主流AI推理框架和模型部署流程(如TensorRT、ONNX Runtime、端侧推理引擎等),至…
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工作职责
1. 深入了解边缘推理应用场景,挖掘客户核心需求,结合行业发展趋势,转化为芯片关键规格,参与芯片架构定义与Roadmap规划。 2. 负责芯片配套软件规划与设计,规划芯片SDK、驱动、运行时、工具链等配套软件,设计典型部署架构与实践方案。 3. 针对不同市场方向,规划相应的硬件参考设计和核心器件选型指南、参考BOM及DFM建议,确保整体方案可复用、可量产。 4. 面向开发者和行业客户,提供技术文档、示例代码、Benchmark及适配支持,支持和推动标杆项目量产落地,并反馈市场需求以驱动芯片与SDK持续迭代
包括英文材料
学历+
SOC+
https://www.arm.com/resources/education/books/modern-soc
The aim of this textbook is to expose aspiring and practising SoC designers to the fundamentals and latest developments in SoC design and technologies using examples of Arm Cortex-A technology and related IP blocks and interfaces.
https://www.arm.com/resources/education/education-kits/introduction-to-soc
To produce students with solid introductory knowledge on the basics of SoC design and key practical skills required to implement a simple SoC on an FPGA and write embedded programs targeted at the microprocessor to control the peripherals.
https://www.youtube.com/watch?v=dokgLSAhqHI
A key part of the digital innovation revolution has been the embrace of the SoC, or system-on-chip.
系统设计+
https://roadmap.sh/system-design
Everything you need to know about designing large scale systems.
https://www.youtube.com/watch?v=F2FmTdLtb_4
This complete system design tutorial covers scalability, reliability, data handling, and high-level architecture with clear explanations, real-world examples, and practical strategies.
SDK+
https://www.ibm.com/think/topics/api-vs-sdk
Learn about software development kits (SDKs) and application programming interfaces (APIs) and how they improve both software development cycles and the end-user experience (UX).
https://www.redhat.com/zh-cn/topics/cloud-native-apps/what-is-SDK
软件开发套件(SDK)是通常由硬件平台、操作系统(OS)或编程语言的制造商提供的一套工具。
TensorRT+
https://docs.nvidia.com/deeplearning/tensorrt/latest/getting-started/quick-start-guide.html
This TensorRT Quick Start Guide is a starting point for developers who want to try out the TensorRT SDK; specifically, it demonstrates how to quickly construct an application to run inference on a TensorRT engine.
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