安克创新机器人平台仿真算法工程师（博士）
校招全职地点：深圳 | 北京状态：招聘
任职要求
职位要求 1.计算机科学、人工智能、自动化、机器人、电子信息等相关专业硕士及以上学历，具备扎实的机器人学理论，计算机视觉知识，了解基本图形学、物理引擎及渲染管线； 2.熟悉主流3D重建技术，如NeRF/3DGS/SfM/MVS等；熟悉DUSt3R/VGGT等相关算法； 3.至少熟悉一种机器学习/深度学习框架，如 PyTorch、TensorFlow 等，具备强化学习基础知识； 4.优秀的编程能力，熟练掌握Python/C++； 5.能独立阅读英文论文，实现主流算法； 6.有良好的学习能力、技术文档撰写能力和团队沟通协作意识，对机器人领域有兴趣。 加分项 有3D生成、生成式重建、逆渲染或相关CV+CG交叉项目经历； 熟悉生成式AI在视频、3D/4D领域的前沿技术和应用； 有机器人、自动驾驶、仿真平台（IsaacSim、CARLA、Gazebo、Unreal等）实际开发实习/课程经验； 曾参与高水平学术论文、竞赛或开源项目。
工作职责
职位描述： 1.核心算法研发：参与机器人平台视觉与物理仿真系统的算法开发，包括但不限于基于3DGS的三维重建、生成式重建、逆渲染和相关物理仿真算法的设计和实现； 2.评测与优化：在仿真场景工作流中集成算法成果，对性能和真实度进行评测及优化，实现算法的迭代升级； 3.实际业务落地：基于Isaac Sim仿真平台开发，实现机器人运动/动力学建模，优化仿真系统性能，参与渲染引擎及其他研发团队密切协作，支持业务落地，解决实际场景的技术问题，共同推进平台能力研发； 4.前沿技术探索：关注计算机视觉、3D重建、生成式AI及物理世界模型相关领域最新的学术研究成果，并进行调研、验证和应用，推动公司在该领域的技术创新。
包括英文材料
学历+
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.
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/
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.
深度学习+
https://d2l.ai/
Interactive deep learning book with code, math, and discussions.
PyTorch+
https://datawhalechina.github.io/thorough-pytorch/
PyTorch是利用深度学习进行数据科学研究的重要工具，在灵活性、可读性和性能上都具备相当的优势，近年来已成为学术界实现深度学习算法最常用的框架。
https://www.youtube.com/watch?v=V_xro1bcAuA
Learn PyTorch for deep learning in this comprehensive course for beginners. PyTorch is a machine learning framework written in Python.
TensorFlow+
https://www.youtube.com/watch?v=tpCFfeUEGs8
Ready to learn the fundamentals of TensorFlow and deep learning with Python? Well, you’ve come to the right place.
https://www.youtube.com/watch?v=ZUKz4125WNI
This part continues right where part one left off so get that Google Colab window open and get ready to write plenty more TensorFlow code.
强化学习+
https://cloud.google.com/discover/what-is-reinforcement-learning?hl=en
Reinforcement learning (RL) is a type of machine learning where an "agent" learns optimal behavior through interaction with its environment.
https://huggingface.co/learn/deep-rl-course/unit0/introduction
This course will teach you about Deep Reinforcement Learning from beginner to expert. It’s completely free and open-source!
https://www.kaggle.com/learn/intro-to-game-ai-and-reinforcement-learning
Build your own video game bots, using classic and cutting-edge algorithms.
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.
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
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.
Gazebo+
https://gazebosim.org/docs/latest/getstarted/
When you’re ready, follow the next few steps to get up and running with simulation using Gazebo.
https://www.youtube.com/watch?v=laWn7_cj434
In this video we learn how to simulate our robot using Gazebo.
Unreal+
[英文] Learn Unreal Engine
https://dev.epicgames.com/community/unreal-engine/learning
From your first steps to complete mastery of Unreal Engine, we've got you covered.
https://www.youtube.com/watch?v=BGsFLoYp1V8
I have a complete beginner course for anyone new to Unreal. Following this tutorial will teach you all the basics of Unreal Engine and bring you through creating your first cinematic scene.
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社招2年以上
计算机视觉算法工程师 1、负责计算机视觉相关技术的研发和实现，包括图像分割、目标检测、目标识别、图像理解等。 2、负责流式视频理解相关技术的研发与实现。 3、持续优化算法性能并完成部署，跟踪计算机视觉领域的前沿技术。 机器人视觉算法工程师 1、负责机器人视觉平台的设计、搭建与调试。 2、基于ROS等进行算法的快速开发、仿真及验证。 3、实现基于视觉的机器人交互、操作、运控。