對職位有興趣?上傳您的簡歷無需注冊,即可直接投遞您心儀的職位
NVIDIA
自動駕駛系統(tǒng)軟件工程師Autonomous Driving System Engineer
收藏職位
- 1萬-2萬/年
- 上海
- |
- 工作經(jīng)驗不限
- |
- 本科
- |
- 全職
職位誘惑: 年終獎金,五險一金,福利好,年底雙薪,老板nice
發(fā)布時間: 2020-10-11發(fā)布
職位描述
職位描述/工作職責:
- 開發(fā)并維護自駕車系統(tǒng)軟件
- 融合車載傳感器(Camera,LIDAR,RADAR,GPS,IMU,CAN etc)信息以實現(xiàn)車輛在復雜環(huán)境下的自動,安全,舒適駕駛
- 與其他眾多團隊合作,實現(xiàn)并優(yōu)化自動駕駛平臺相關的性能,穩(wěn)定性和安全性
- 您將能接觸到最前沿的自動駕駛研究課題,如智能決策,深度學習,軌跡規(guī)劃跟蹤等
- 計算機,電子工程,自動化或相關專業(yè)本科及以上學歷(高級職位需Phd或6年以上工作經(jīng)驗)
- 豐富的面向?qū)ο缶幊探?jīng)驗,精通C/C++, 熟悉Python
- 用戶態(tài)開發(fā)經(jīng)驗并能進行一定程度的內(nèi)核態(tài)和底層硬件調(diào)試
- 熟練掌握大規(guī)模并行計算的基本原理以開發(fā)高效可擴展的并發(fā)應用程序
- 扎實的系統(tǒng)軟件經(jīng)驗,熟悉實時操作系統(tǒng)的事件調(diào)度處理機制
- 對CPU/GPU體系結(jié)構和內(nèi)存管理有深入理解并能針對硬件平臺進行性能優(yōu)化
- 了解物體檢測,目標跟蹤,數(shù)據(jù)關聯(lián)等功能的常用算法
- 有良好的分析,溝通,組織和團隊協(xié)作能力以共同解決實際問題
Autonomous Driving System Engineer
Location: Shanghai
NVIDIA is hiring System Engineers for its Autonomous Vehicle teams. As a member of our team you will be responsible for developing and maintaining software to drive the car, given various sensor input devices including Camera’s, LIDAR, RADAR, GPS, IMU and others on Vehicle CAN, work with different teams here to transform the information into driving the car with the best experience. You will work with different teams on all sort of challenging problems for autonomous driving including computer vision, deep learning, object tracking, car controlling. You will help build the software and make it work flawlessly and safely on our driving platform. You are expected to have strong communication, organizational, and analytical skills. Solid understanding and strong System software experience is a requirement. Experience with GPU technology, image processing, computer vision, and multimedia are highly valued. Familiarity with deep learning / artificial intelligence is desirable.
What you’ll be doing:
· Craft the driving application for Autonomous Vehicle products
· Solve the real challenging problems in the software with different teams and to drive the car with the best experience
· Performance optimization on our driving platforms
What we need to see:
· You have a BS/MS in EE/CS or closely related field (or additional equivalent experience), and 5+ years of relevant work and lab experience.
· You possess a good understanding of programming languages in C, C++ and Python.
· You are familiar with source control tools (git, Perforce, etc.)
· You are experienced in developing system software mostly in user space but also feel no big deal in digging deep into kernel space and even low-level hardware
· You know much system programming, threading, mutex, synchronization, communication, and parallel computing to build highly scalable and efficient applications
· You are familiar with underlying hardware architecture for CPU/GPU and memory, and understand performance from bottom up
· Prior experience working in the following areas: Kernel development, Autonomous Vehicles, Robotics, Self-Driving-Cars, GPU technology, Computer Vision, Deep Learning
· You should display outstanding communication and collaboration skills, as we work as a tightly-knit team, always discussing and learning from each other and driving things forward and making solid progress
Ways to stand out from the crowd:
· Deep understanding of system architecture, CPU/GPU/Memory/Storage, everything related to performance optimization
· Solid working experience in kernel developing, Linux/QNX, and all too familiar with OS scheduling, event handling, real-time requirements.
· Experience with Computer Vision, Machine Learning, Deep Learning or other Artificial Intelligence paradigms
· Experience in Automotive Vehicle or Robotic System Building
· We believe that realizing self-driving cars will be a defining contribution of our generation (e.g. traffic accidents are responsible for ~1.25 million deaths per year world-wide). We have the funding and scale, but we need your help on our team.
職位發(fā)布者
heatherl@nvidia.com
HR
7天
簡歷處理用時
100%