小米自动驾驶数据研发工程师实习生
实习兼职地点：北京状态：招聘
任职要求
任职要求： 1.硕士及以上学历； 2.良好的逻辑思维能力，熟悉大规模数据处理挖掘、数据流程搭建等； 3.精通Python、Java、C、C++中至少一门编程语言，熟练运用各种常用算法和数据结构，有独立的实现能力； 4.具备良好的学习能力和沟通交流能力，能够迅速熟悉业务、融入团队。 5.实习时长至少6个月，每周至少4天 加分项： 1.有过自动驾驶相关领域的研究和实习经历； 2.熟悉Spark、Iceberg等数据湖仓大数据开源技术； 3.对AI大模型领域有相关研究或实践；
工作职责
工作内容： 1.负责自动驾驶相关数据的开发和处理； 2.负责自动驾驶相关数据的分析 3.负责自动驾驶数据挖掘相关工具链产品开发
包括英文材料
学历+
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.
Java+
https://www.youtube.com/watch?v=eIrMbAQSU34
Master Java – a must-have language for software development, Android apps, and more! ☕️ This beginner-friendly course takes you from basics to real coding skills.
C+
https://www.freecodecamp.org/chinese/news/the-c-beginners-handbook/
本手册遵循二八定律。你将在 20% 的时间内学习 80% 的 C 编程语言。
https://www.youtube.com/watch?v=87SH2Cn0s9A
https://www.youtube.com/watch?v=KJgsSFOSQv0
This course will give you a full introduction into all of the core concepts in the C programming language.
https://www.youtube.com/watch?v=PaPN51Mm5qQ
In this complete C programming course, Dr. Charles Severance (aka Dr. Chuck) will help you understand computer architecture and low-level programming with the help of the classic C Programming language book written by Brian Kernighan and Dennis Ritchie.
C+++
https://www.learncpp.com/
LearnCpp.com is a free website devoted to teaching you how to program in modern C++.
https://www.youtube.com/watch?v=ZzaPdXTrSb8
算法+
https://roadmap.sh/datastructures-and-algorithms
Step by step guide to learn Data Structures and Algorithms in 2025
https://www.hellointerview.com/learn/code
A visual guide to the most important patterns and approaches for the coding interview.
https://www.w3schools.com/dsa/
数据结构+
https://www.youtube.com/watch?v=8hly31xKli0
In this course you will learn about algorithms and data structures, two of the fundamental topics in computer science.
https://www.youtube.com/watch?v=B31LgI4Y4DQ
Learn about data structures in this comprehensive course. We will be implementing these data structures in C or C++.
https://www.youtube.com/watch?v=CBYHwZcbD-s
Data Structures and Algorithms full course tutorial java
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.
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.
大数据+
https://www.youtube.com/watch?v=bAyrObl7TYE
https://www.youtube.com/watch?v=H4bf_uuMC-g
With all this talk of Big Data, we got Rebecca Tickle to explain just what makes data into Big Data.
大模型+
https://www.youtube.com/watch?v=xZDB1naRUlk
You will build projects with LLMs that will enable you to create dynamic interfaces, interact with vast amounts of text data, and even empower LLMs with the capability to browse the internet for research papers.
https://www.youtube.com/watch?v=zjkBMFhNj_g
相关职位
实习技术类
1. 深入理解自动驾驶系统的内部逻辑和表现行为，从自动驾驶的大规模虚拟仿真/道路测试数据中分析自动驾驶系统在安全性方面的表现和趋势。与研发工程师和测试工程师紧密合作，以数据驱动的方式评估、提升自动驾驶系统的安全性。 2. 调研业界前沿自动驾驶性能评估方法，落地实施，帮助提升自动驾驶算法安全性。
更新于 2025-08-27
实习IDG
-负责自动标软件研发 -负责自动标注和数据挖掘相关算法预研、开发 -负责预标注模型部署、测试相关工作 -负责标注数据自动化质量评估等开发工作
更新于 2025-09-22
实习算法工程
1、 研发基于地图或者基于模型数据挖掘算法，精准识别自动驾驶长尾场景（如极端天气、复杂交通参与行为、罕见障碍物等）； 2、构建高效的自动化数据挖掘Pipeline，提升数据标签质量并降低标注成本；
更新于 2025-08-26
实习技术类
深入理解自动驾驶算法逻辑，从大规模数据集中挖掘高价值驾驶场景和行为数据，以数据驱动的方式加速自动驾驶算法的迭代。与研发和测试工程师紧密合作，开发数据分析的框架、流程和工具，形成规范、高效、自动化的数据分析闭环： 1. 与算法研发工程师合作，通过数据驱动的方式挖掘自动驾驶算法需要关注的关键场景和高价值数据，参与算法迭代； 2. 整合研发和测试侧多种数据需求，确定分析和实施方案，构建数据应用工具，开发和维护相关报表和监控； 3. 构建数据存取、数据分析和可视化等一系列工具，让分析流程的更高效，更自动，更用户友好。
更新于 2025-08-25