2027届校招-系统固件验证工程师
上海
校招
正式
研发 - 电子 / 半导体
职位 ID：A160761
职位描述
1、负责AI芯片与固态存储协同场景下的系统功能/性能/稳定性测试, 验证存储固件在 AI 特定负载下的表现； 2、开发并维护在模型推理场景下的数据流负载测试方法和验证标准, 基于Python、Shell等脚本语言设计自动化测试用例； 3、AI推理芯片与存储固件交互场景下的故障定位, 协同固件/驱动/系统软件团队完成问题回归与闭环； 4、利用Jenkins等平台搭建维护CI/CD持续集成测试流水线, 引入AI工具优化测试用例生成效率； 5、针对 AI 存储产品的硬件/固件特点, 制定专项测试策略与规范, 输出测试报告； 6、参与测试平台架构设计与升级维护, 对测试规范、流程、方法、技术持续改进。
职位要求
1、计算机、电子电气、微电子、自动化、通信工程、集成电路、半导体物理等相关理工科专业, 2027届全日制硕士及以上学历； 2、熟悉 SSD/UFS/eMMC等固态存储的固件机制, 了解固态存储内部FTL算法、NAND闪存特性, 以及AI推理芯片的基本架构与大模型推理的数据流特征； 3、熟练使用Linux/Windows操作系统, 掌握Python、Shell等脚本语言编程, 能独立开发测试工具与自动化用例； 4、具备严谨的逻辑分析能力, 能独立定位复杂软硬件交互问题； 5、良好的跨团队沟通协作能力, 能承受研发项目的阶段性工作压力, 具备较强的自主学习与技术迭代能力。
投递
Founded in 2017, Witmem focuses on the field of computing-in-memory chips, innovatively uses Flash memory to complete the computing-in-memory of neural networks, solves the problem of AI storage walls, improves computing efficiency and reduces costs.
The R&D team is formed by Dr. Wang Shaodi and Dr. Guo Xinjie in conjunction with a number of scholars and industry practitioners. They have an average of more than 10 years of industrial work experience.
Witmem's WTM2101 chip is suitable for low-power AIoT applications, and can complete large-scale deep learning operations with microwatt to milliwatt power consumption, especially suitable for intelligent voice and intelligent health services in wearable devices, and has completed mass production and market applications . WTM8 series chips are aimed at 6-48Tops computing power products and are used for real-time processing of 4K-8K video.
In January 2023,Witmem announced the completion of the B2 round of financing. In the future, Witmem will continue focusing on the field of computing-in-memory chips and lead the industrialization of computing-in-memory.
Website: https://en.witmem.com/
YouTube: https://www.youtube.com/@Witmem2017
Headquartered in Beijing, China.
