美团【北斗】自动驾驶算法系统研究员
校招全职软硬件服务-无人车业务部地点:北京状态:招聘
工作描述
任职要求 【岗位要求】 1.计算机、人工智能、自动化、电子工程等相关专业本科及以上学历,具备扎实的计算机系统、机器学习与工程基础; 2.在 AI Infra、分布式训练、自动驾驶、基础模型(Foundation Model)、高性能计算(HPC)或大规模机器学习系统方向具有丰富研发经验; 3.熟悉深度学习训练与推理框架,熟悉 GPU / SOC 架构与性能优化,具备 CUDA Kernel、算子优化、显存优化、编译加速或推理部署优化; 4.熟悉分布式训练体系与大规模集群优化,包括数据并行、模型并行、流水线并行、混合并行、多机通信优化及资源调度等方向; 5.熟悉自动驾驶算法体系,理解感知、预测、规划、端到端模型或世界模型等方向的核心技术架构与工程挑战; 6.具备优秀的跨团队协作与技术领导能力,能够主导复杂项目推进,并影响多团队技术方向与工程实践。 加分项: 1.有开源项目贡献、顶会论文或行业影响力成果; 2.有 AI Agent、自动化研发平台或 AI Native Workflow 建设经验。 【为什么是我们】 1.深度参与下一代自动驾驶…
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包括英文材料
学历+
机器学习+
https://www.youtube.com/watch?v=0oyDqO8PjIg
Learn about machine learning and AI with this comprehensive 11-hour course from @LunarTech_ai.
https://www.youtube.com/watch?v=i_LwzRVP7bg
Learn Machine Learning in a way that is accessible to absolute beginners.
https://www.youtube.com/watch?v=NWONeJKn6kc
Learn the theory and practical application of machine learning concepts in this comprehensive course for beginners.
https://www.youtube.com/watch?v=PcbuKRNtCUc
Learn about all the most important concepts and terms related to machine learning and AI.
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.
HPC+
https://www.ibm.com/think/topics/hpc
HPC is a technology that uses clusters of powerful processors that work in parallel to process massive, multidimensional data sets and solve complex problems at extremely high speeds.
深度学习+
https://d2l.ai/
Interactive deep learning book with code, math, and discussions.
SOC+
https://www.arm.com/resources/education/books/modern-soc
The aim of this textbook is to expose aspiring and practising SoC designers to the fundamentals and latest developments in SoC design and technologies using examples of Arm Cortex-A technology and related IP blocks and interfaces.
https://www.arm.com/resources/education/education-kits/introduction-to-soc
To produce students with solid introductory knowledge on the basics of SoC design and key practical skills required to implement a simple SoC on an FPGA and write embedded programs targeted at the microprocessor to control the peripherals.
https://www.youtube.com/watch?v=dokgLSAhqHI
A key part of the digital innovation revolution has been the embrace of the SoC, or system-on-chip.
CUDA+
https://developer.nvidia.com/blog/even-easier-introduction-cuda/
This post is a super simple introduction to CUDA, the popular parallel computing platform and programming model from NVIDIA.
https://www.youtube.com/watch?v=86FAWCzIe_4
Lean how to program with Nvidia CUDA and leverage GPUs for high-performance computing and deep learning.
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