Autonomous Driving System Engineer

英伟达正在上海寻找系统工程师加入其自动驾驶车辆团队。该职位将负责开发和维护软件,利用各种传感器输入设备(如摄像头、激光雷达等)进行车辆控制。应聘者需要具备深厚的系统软件经验,并熟悉GPU技术、计算机视觉及深度学习等领域。

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Location: Shanghai

NVIDIA is hiring System Engineers for its Autonomous Vehicle teams. As a member of our team you will be responsible for developing and maintaining software to drive the car, given various sensor input devices including Camera’s, LIDAR, RADAR, GPS, IMU and others on Vehicle CAN, work with different teams here to transform the information into driving the car with the best experience. You will work with different teams on all sort of challenging problems for autonomous driving including computer vision, deep learning, object tracking, car controlling. You will help build the software and make it work flawlessly and safely on our driving platform. You are expected to have strong communication, organizational, and analytical skills. Solid understanding and strong System software experience is a requirement. Experience with GPU technology, image processing, computer vision, and multimedia are highly valued. Familiarity with deep learning / artificial intelligence is desirable.

What you’ll be doing:

• Craft the driving application for Autonomous Vehicle products • Solve the real challenging problems in the software with different teams and to drive the car with the best experience • Performance optimization on our driving platforms

What we need to see:

• You have a BS/MS in EE/CS or closely related field (or additional equivalent experience), and 5+ years of relevant work and lab experience.
• You possess a good understanding of programming languages in C, C++ and Python. • You are familiar with source control tools (git, Perforce, etc.) • You are experienced in developing system software mostly in user space but also feel no big deal in digging deep into kernel space and even low-level hardware • You know much system programming, threading, mutex, synchronization, communication, and parallel computing to build highly scalable and efficient applications • You are familiar with underlying hardware architecture for CPU/GPU and memory, and understand performance from bottom up • Prior experience working in the following areas: Kernel development, Autonomous Vehicles, Robotics, Self-Driving-Cars, GPU technology, Computer Vision, Deep Learning • You should display outstanding communication and collaboration skills, as we work as a tightly-knit team, always discussing and learning from each other and driving things forward and making solid progress

Ways to stand out from the crowd:

• Deep understanding of system architecture, CPU/GPU/Memory/Storage, everything related to performance optimization • Solid working experience in kernel developing, Linux/QNX, and all too familiar with OS scheduling, event handling, real-time requirements. • Experience with Computer Vision, Machine Learning, Deep Learning or other Artificial Intelligence paradigms • Experience in Automotive Vehicle or Robotic System Building • We believe that realizing self-driving cars will be a defining contribution of our generation (e.g. traffic accidents are responsible for ~1.25 million deaths per year world-wide). We have the funding and scale, but we need your help on our team.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. If you're creative, autonomous and love a challenge, we want to hear from you!
Contact: sbai@nvidia.com or Linkedin: https://www.linkedin.com/in/xuebai52/
基于开源大模型的教学实训智能体软件,帮助教师生成课前备课设计、课后检测问答,提升效率与效果,提供学生全时在线练习与指导,实现教学相长。 智能教学辅助系统 这是一个智能教学辅助系统的前端项目,基于 Vue3+TypeScript 开发,使用 Ant Design Vue 作为 UI 组件库。 功能模块 用户模块 登录/注册功能,支持学生和教师角色 毛玻璃效果的登录界面 教师模块 备课与设计:根据课程大纲自动设计教学内容 考核内容生成:自动生成多样化考核题目及参考答案 学情数据分析:自动化检测学生答案,提供数据分析 学生模块 在线学习助手:结合教学内容解答问题 实时练习评测助手:生成随练题目并纠错 管理模块 用户管理:管理员/教师/学生等用户基本管理 课件资源管理:按学科列表管理教师备课资源 大屏概览:使用统计、效率指数、学习效果等 技术栈 Vue3 TypeScript Pinia 状态管理 Ant Design Vue 组件库 Axios 请求库 ByteMD 编辑器 ECharts 图表库 Monaco 编辑器 双主题支持(专业科技风/暗黑风) 开发指南 # 安装依赖 npm install # 启动开发服务器 npm run dev # 构建生产版本 npm run build 简介 本项目旨在开发一个基于开源大模型的教学实训智能体软件,帮助教师生成课前备课设计、课后检测问答,提升效率与效果,提供学生全时在线练习与指导,实现教学相长。
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