Workflow
蔚来招聘大模型-端到端算法工程师!
自动驾驶之心·2025-08-14 03:36

Core Viewpoint - The article emphasizes the importance of job opportunities and resources in the fields of autonomous driving and embodied intelligence, highlighting a community platform for job seekers in these sectors. Group 1: Job Descriptions and Requirements - The position involves designing and developing end-to-end algorithms for intelligent assisted driving, including BEV perception, Lidar perception, occupancy networks, and multi-modal large models [1] - Candidates with experience in deep learning, object detection, and reinforcement learning algorithms are preferred, along with a background in computer science or electronics [2] - Proficiency in the PyTorch deep learning framework and good communication skills are essential for applicants [2] Group 2: Community and Resources - The AutoRobo knowledge community has nearly 1,000 members, including professionals from various companies in the autonomous driving and robotics sectors [4] - The community provides resources such as interview questions, industry reports, salary negotiation tips, and internal job postings for various positions [5][6] - A compilation of 100 interview questions related to autonomous driving and embodied intelligence is available for members [9] Group 3: Industry Reports and Insights - The community offers in-depth industry reports to help members understand the current state and future prospects of the autonomous driving and embodied intelligence sectors [15] - Reports cover various topics, including the development trends and market opportunities within the embodied intelligence industry [15] Group 4: Interview Experiences and Tips - The community shares both successful and unsuccessful interview experiences to help members learn from past mistakes and improve their interview skills [17] - Insights on salary negotiation and common HR questions are also provided to assist job seekers [19][21]