安克创新机器人传感器应用工程师(博士)
校招全职地点:深圳状态:招聘
任职要求
1、博士学历,机器人、计算机、自动化、机械电子、应用数学、人工智能等相关专业。 2、扎实数学:李群李代数、非线性优化、概率滤波、图优化、三维几何。 3、编程语言:精通 C++17 / Python,熟悉 Linux、ROS/ROS2、Git、CI/CD。 4、算法经验:至少精通一种视觉或激光 SLAM 框架(VINS、ORB-SLAM、LIO-SAM、FAST-LIO、Cartographer 等)并有实际落地案例。 5、传感器实操:独立设计过 Camera-LiDAR-IMU 外参标定方案,能读懂数据手册、编写驱动、调试同步触发。 加分项: 6、熟悉深度学习框架(PyTorch/TensorRT)及 3D 视觉大模型(Segment Anything 3D、Dust3R、ACE-Zero)。 7、具有车规级功能安全(ISO 26262)、人形机器人双足平衡、无人机/无人船多机协同等场景经验。 8、发表过 ICRA/IROS/RSS/ CVPR/NeurIPS 等顶会论文,或拥有开源项目/专利/竞赛冠军。 9、熟悉嵌入式驱动、FPGA 加速、时间同步(PTP/gPTP)、TSN 网络。
工作职责
1、 传感器系统:Camera、LiDAR、IMU、力/触觉、毫米波、RGB-D 等选型、建模、标定、同步与性能评测。 2、感知算法:视觉/LiDAR SLAM、VIO、多传感器融合定位、3D 语义分割、目标检测、NeRF/3DGS 场景重建。 3、 具身交互:基于多模态传感信息完成动态避障、抓取规划、地形适应、人机协作安全。 4、Sim2Real:在 Isaac Sim、Gazebo、Mujoco 等仿真平台建立高保真传感器模型,缩小仿真-现实差距。 5、落地闭环:主导算法在 ROS2/RTOS 上的移植、边缘计算部署(Jetson/FPGA/ MCU),完成整机联调与性能优化。
包括英文材料
学历+
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.
Linux+
https://ryanstutorials.net/linuxtutorial/
Ok, so you want to learn how to use the Bash command line interface (terminal) on Unix/Linux.
https://ubuntu.com/tutorials/command-line-for-beginners
The Linux command line is a text interface to your computer.
https://www.youtube.com/watch?v=6WatcfENsOU
In this Linux crash course, you will learn the fundamental skills and tools you need to become a proficient Linux system administrator.
https://www.youtube.com/watch?v=v392lEyM29A
Never fear the command line again, make it fear you.
https://www.youtube.com/watch?v=ZtqBQ68cfJc
ROS+
https://www.youtube.com/watch?v=92Zz5nnd41c&list=PLk51HrKSBQ8-jTgD0qgRp1vmQeVSJ5SQC
https://www.youtube.com/watch?v=HJAE5Pk8Nyw
Ready to learn ROS2 and take your robotics skills to the next level?
https://www.youtube.com/watch?v=MWKnMPX0Yjg&list=PLU9tksFlQRircAdEplrH9NMm4WtSA8yzi
Do you want to know more about ROS the Robot Operating System?
Git+
https://www.youtube.com/watch?v=rH3zE7VlIMs
Learn Git from start to finished in this full course written by ThePrimeagen.
CI+
https://www.ibm.com/cn-zh/think/topics/continuous-integration
持续集成 (CI) 是一种软件开发实践,开发人员在整个开发周期中会定期将新的代码和代码变更集成到中央代码存储库中。它是 DevOps 和敏捷方法的关键组成部分。
https://www.youtube.com/watch?v=42UP1fxi2SY
CD+
https://www.redhat.com/zh-cn/topics/devops/what-is-ci-cd
CI/CD 是持续集成和持续交付/部署的缩写,旨在简化并加快软件开发生命周期。
https://www.youtube.com/watch?v=R8_veQiYBjI&list=PLy7NrYWoggjzSIlwxeBbcgfAdYoxCIrM2
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/
SLAM+
https://docs.mrpt.org/reference/latest/tutorial-slam-for-beginners-the-basics.html
[英文] SLAM for Dummies
https://dspace.mit.edu/bitstream/handle/1721.1/119149/16-412j-spring-2005/contents/projects/1aslam_blas_repo.pdf
A Tutorial Approach to Simultaneous Localization and Mapping
https://ouster.com/insights/blog/introduction-to-slam-simultaneous-localization-and-mapping
SLAM is an essential piece in robotics that helps robots to estimate their pose – the position and orientation – on the map while creating the map of the environment to carry out autonomous activities.
[英文] What Is SLAM?
https://www.mathworks.com/discovery/slam.html
How it works, types of SLAM algorithms, and getting started
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.
TensorRT+
https://docs.nvidia.com/deeplearning/tensorrt/latest/getting-started/quick-start-guide.html
This TensorRT Quick Start Guide is a starting point for developers who want to try out the TensorRT SDK; specifically, it demonstrates how to quickly construct an application to run inference on a TensorRT engine.
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
CVPR+
https://cvpr.thecvf.com/
NeurIPS+
https://neurips.cc/
FPGA+
https://nandland.com/fpga-101/
These are the fundamental concepts that are important to understand when designing FPGAs.
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