理想汽车【自动驾驶】高级模型框架工程师
社招全职3年以上自动驾驶地点:北京状态:招聘
任职要求
1. 有3年以上深度学习算法经验,有模型训练、推理、部署框架研发经验优先; 2. 有自动驾驶经验,熟悉自动驾驶常用的BEV方案、动静态算法、端到端等算法; 3. 计算机、模式识别等相关专业硕士/博士;对于即将开展的出海业务,有海外经历是加分项; 4. 较强代码能力,深入了解数据结构、算法、并行编程、代码优化等相关知识;精通C/C++或Python编程; 5. 具备良好的团队协作能力,能够突破技术难题,推动项目的高效实施; 6. 有计算机视觉及模式识别领域顶会(CVPR/ICCV/ECCV/ICML/NeurIPS)或顶刊(TPAMI/IJCV/TIP)者优先;有顶级学术比赛成果或实际工程项目经验者优先。
工作职责
1. 负责自动驾驶模型框架的研发,包括训练、推理、部署、数据对接、异常诊断等模块的研发 2. 负责支撑自动驾驶无图模型、端到端模型、VLA模型等的发版、维护和升级
包括英文材料
深度学习+
https://d2l.ai/
Interactive deep learning book with code, math, and discussions.
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/
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.
模式识别+
https://www.mathworks.com/discovery/pattern-recognition.html
Pattern recognition is the process of classifying input data into objects, classes, or categories using computer algorithms based on key features or regularities.
https://www.microsoft.com/en-us/research/wp-content/uploads/2006/01/Bishop-Pattern-Recognition-and-Machine-Learning-2006.pdf
Pattern recognition has its origins in engineering, whereas machine learning grew out of computer science.
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
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
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.
OpenCV+
https://learnopencv.com/getting-started-with-opencv/
At LearnOpenCV we are on a mission to educate the global workforce in computer vision and AI.
https://opencv.org/university/free-opencv-course/
This free OpenCV course will teach you how to manipulate images and videos, and detect objects and faces, among other exciting topics in just about 3 hours.
CVPR+
https://cvpr.thecvf.com/
ICCV+
https://iccv.thecvf.com/
ICCV is the premier international computer vision event comprising the main conference and several co-located workshops and tutorials.
ECCV+
https://eccv.ecva.net/
ECCV is the official event under the European Computer Vision Association and is biannual on even numbered years.
ICML+
https://icml.cc/
NeurIPS+
https://neurips.cc/
相关职位
社招3年以上自动驾驶
1. 负责理想汽车自动驾驶端到端模型方法研发和工程落地,包括但不限于动静态感知/通用障碍物/障碍物预测决策等端到端模型; 2. 负责设计高性能上限,具备量产能力的端到端模型算法,包括但不限于diffusion、VLM等模型算法; 3. 开发高效离线训练框架,以及可实时运行的在线推理框架,优化模型推理性能,研发模型部署工具链和优化工具; 4. 建立云端数据感知/决策联合标注Pipeline、数据挖掘机制以及难样本分析等工具链,利用影子模型挖掘众包数据,通过数据闭环持续选代模型能力。
社招自动驾驶
1. 负责自动驾驶端到端模型的设计与研发; 2. 参与、负责关键算法的设计、实现、优化,如 静态感知、导航地图融合、轨迹预测等; 3. 参与、负责训练及验证数据集的构建,以数据驱动方式持续优化模型能力。
社招3年以上
1. 负责小鹏汽车“扶摇”AI平台数据处理相关的软件开发工作,包括数据加载工具(XDataLoader)和数据集管理平台(XDataset),提供统一的数据加载、转换、缓存与预取能力;目标解决大规模数据加载过程中出现的性能瓶颈、数据一致性、系统稳定性等问题,服务AI大模型的训练和推理; 2. 开发并维护高性能 DataLoader SDK,支持自定义采样、并行读取、缓存预取与数据增强等功能,优化多线程/进程流水线,降低I/O与预处理延迟,简化算法团队接入并提升加载效率; 3. 搭建通用Dataset管理系统,实现多源异构数据(图片、视频、点云、传感器等)的统一接入、解析与格式化; 4. 协同算法团队及其他技术团队,深入理解业务需求,快速响应并落地实现。
更新于 2025-07-22