百度自动驾驶AI基础平台-后端工程师(J84318)
社招全职3年以上IDG地点:北京状态:招聘
任职要求
-技术能力: * 计算机科学、软件工程、自动驾驶或相关专业,研究生及以上学历,3年以上云计算、仿真、自动驾驶开发经验 * 精通AWS云平台服务(如S3、Lambda、Glue、Kinesis、Redshift等),有大规模数据系统搭建经验 * 熟悉Kubernetes及容器化技术(Docker) -至少有以下一个方面2年以上的技术经验: * 熟悉数据处理框架(Spark/Flink/Pandas…
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工作职责
-基于AWS或微软云服务,搭建数据反馈关键平台,涵盖数据采集、存储、处理、标注、分析及反馈链路 -实现数据闭环自动化,包括触发式数据回传、关键场景挖掘、模型迭代验证等环节 -设计高可用、可扩展的云架构,优化数据存储与计算资源效率 -开发数据质量监控系统,提升数据利用率和算法泛化能力 -负责基于AWS或微软云的自动驾驶仿真平台开发 -负责设计、开发和优化基于AWS云服务的自动驾驶可视化仿真系统架构,支持高并发、低延迟的仿真场景测试 -构建云原生仿真工具链,整合数据管理、场景生成、结果分析等模块,提升仿真效率与可扩展性 -跨团队协作与技术沉淀 -与算法团队紧密合作,确保仿真环境与自动驾驶感知、规划、控制模块的精准对接 -主导技术文档编写与开源工具链研究,推动团队技术标准化
包括英文材料
自动驾驶+
https://www.youtube.com/watch?v=_q4WUxgwDeg&list=PL05umP7R6ij321zzKXK6XCQXAaaYjQbzr
Lecture: Self-Driving Cars (Prof. Andreas Geiger, University of Tübingen)
https://www.youtube.com/watch?v=NkI9ia2cLhc&list=PLB0Tybl0UNfYoJE7ZwsBQoDIG4YN9ptyY
You will learn to make a self-driving car simulation by implementing every component one by one. I will teach you how to implement the car driving mechanics, how to define the environment, how to simulate some sensors, how to detect collisions and how to make the car control itself using a neural network.
学历+
AWS+
https://aws.amazon.com/
Amazon Web Services offers reliable, scalable, and inexpensive cloud computing services. Free to join, pay only for what you use.
Kubernetes+
https://kubernetes.io/docs/tutorials/kubernetes-basics/
This tutorial provides a walkthrough of the basics of the Kubernetes cluster orchestration system.
https://kubernetes.io/zh-cn/docs/tutorials/kubernetes-basics/
本教程介绍 Kubernetes 集群编排系统的基础知识。每个模块包含关于 Kubernetes 主要特性和概念的一些背景信息,还包括一个在线教程供你学习。
https://www.youtube.com/watch?v=s_o8dwzRlu4
Hands-On Kubernetes Tutorial | Learn Kubernetes in 1 Hour - Kubernetes Course for Beginners
https://www.youtube.com/watch?v=X48VuDVv0do
Full Kubernetes Tutorial | Kubernetes Course | Hands-on course with a lot of demos
Docker+
https://www.youtube.com/watch?v=GFgJkfScVNU
Master Docker in one course; learn about images and containers on Docker Hub, running multiple containers with Docker Compose, automating workflows with Docker Compose Watch, and much more. 🐳
https://www.youtube.com/watch?v=kTp5xUtcalw
Learn how to use Docker and Kubernetes in this complete hand-on course for beginners.
Spark+
[英文] Learning Spark Book
https://pages.databricks.com/rs/094-YMS-629/images/LearningSpark2.0.pdf
This new edition has been updated to reflect Apache Spark’s evolution through Spark 2.x and Spark 3.0, including its expanded ecosystem of built-in and external data sources, machine learning, and streaming technologies with which Spark is tightly integrated.
Flink+
https://nightlies.apache.org/flink/flink-docs-release-2.0/docs/learn-flink/overview/
This training presents an introduction to Apache Flink that includes just enough to get you started writing scalable streaming ETL, analytics, and event-driven applications, while leaving out a lot of (ultimately important) details.
https://www.youtube.com/watch?v=WajYe9iA2Uk&list=PLa7VYi0yPIH2GTo3vRtX8w9tgNTTyYSux
Today’s businesses are increasingly software-defined, and their business processes are being automated. Whether it’s orders and shipments, or downloads and clicks, business events can always be streamed. Flink can be used to manipulate, process, and react to these streaming events as they occur.
Pandas+
[英文] 10 minutes to pandas
https://pandas.pydata.org/docs/user_guide/10min.html
This is a short introduction to pandas, geared mainly for new users.
[英文] Cookbook - pandas
https://pandas.pydata.org/docs/user_guide/cookbook.html#cookbook
This is a repository for short and sweet examples and links for useful pandas recipes.
https://www.kaggle.com/learn/pandas
Solve short hands-on challenges to perfect your data manipulation skills.
https://www.youtube.com/watch?v=2uvysYbKdjM
I'm super excited for this one. We're doing another complete Python Pandas tutorial walkthrough.
https://www.youtube.com/watch?v=Mdq1WWSdUtw
Filtering, Joins, Indexing, Data Cleaning, Visualizations
Python+
https://liaoxuefeng.com/books/python/introduction/index.html
中文,免费,零起点,完整示例,基于最新的Python 3版本。
https://www.learnpython.org/
a free interactive Python tutorial for people who want to learn Python, fast.
https://www.youtube.com/watch?v=K5KVEU3aaeQ
Master Python from scratch 🚀 No fluff—just clear, practical coding skills to kickstart your journey!
https://www.youtube.com/watch?v=rfscVS0vtbw
This course will give you a full introduction into all of the core concepts in python.
Scala+
还有更多 •••
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社招技术
职位描述: 1)设计并实现高并发、高可用的数据标注平台后端架构,支持图像、点云、视频等多模态自动驾驶数据的标注需求; 2)搭建标注数据存储与治理系统,保障大规模标注数据(PB级)的安全存储与高效检索; 3)搭建面向自动驾驶大模型的数据生产系统,涵盖数据清洗、增强、合成与标注全流程; 4)构建数据版本管理与回溯系统,实现数据集迭代过程的可追踪性,满足模型训练合规要求;
更新于 2025-10-21北京
社招技术
1)设计并实现高并发、高可用的数据标注平台后端架构,支持图像、点云、视频等多模态自动驾驶数据的标注需求; 2)搭建标注数据存储与治理系统,保障大规模标注数据(PB级)的安全存储与高效检索; 3)搭建面向自动驾驶大模型的数据生产系统,涵盖数据清洗、增强、合成与标注全流程; 4)构建数据版本管理与回溯系统,实现数据集迭代过程的可追踪性,满足模型训练合规要求;
更新于 2025-11-05北京
社招
我们能提供: 1. 前沿技术实践:深度参与自动驾驶+AI大模型数据闭环系统,直接赋能L4级无人驾驶算法迭代 2. 技术栈成长:React+Three.js可视化开发 + Node.js高并发架构 + K8s云原生部署 3. 行业红利:加入万亿级自动驾驶赛道核心数据基建团队 1. 前端开发 - 基于React构建自动驾驶数据生产平台的前端架构 - 开发高精度点云标注、3D场景重建(Three.js)等可视化模块 - 实现大数据量场景下的高性能渲染与交互优化 2. 全栈协作 - 配合Node.js(Koa)/Python后端完成数据管道开发 - 参与大数据的处理与分析,为业务提供数据支持和洞察,推动数据驱动的决策过程。 - 优化现有系统,提升系统的性能、安全性和扩展性。
更新于 2025-07-10广州
