英伟达
上海 ·电子/半导体/集成电路 ·100-499人
自动驾驶-在线建图算法工程师
30-60K·13薪
深圳
不限
本科
全职
职位描述
We are looking for junior to Senior algorithm engineer/architect for Autonomous Vehicles to do online mapping. In this role, you will help craft and guide the future of our autonomous driving solution that helps the car perceive the world around it and build the 3D model of the driving environment. We seek extraordinary engineers who are passionate about building self-driving cars and who have a background in sensor fusion, multi-view geometry, and embedded real-time software. Are you interested in inventing human level AI for navigation in the unconstrained world under any conditions? If so, join us!
What You'll Be Doing:
• Generate real-time 3D world model utilized by planning, incorporating a variety of inputs from sensors and external sources.
• Enable HD mapless driving in complex urban scenarios by creating enriched BEV models of the world.
• Design and integrate algorithmic solutions into the core of NVIDIA AV.
• Write safe embedded software code to run in real-time systems.
• Develop highly efficient product code in C++ and make use of algorithmic parallelism offered by GPGPU programming (CUDA).
• Produce code and designs following automotive quality and safety standards.
What We Need To See:
• Bachelor’s / Master’s / PhD in Computer Science or a related field with 2+ years of experience.
• Software industry experience.
• Strong C++ development skills.
• Passion for robotics and autonomous vehicles.
• Drive to learn new things and tackle meaningful problems.
• Outstanding communication and cross-team collaboration.
• Independent and analytical software engineering skills.
• Ability to work in both Chinese and English languages.
• Software development on embedded or automotive platforms.
Ways To Stand Out From The Crowd:
• Background in 3D geometry, computer vision, or state estimation algorithms like Kalman filters, particle filters.
• Understanding of ADASISv2 as well as crowdsourced maps and geographic information systems (GIS).
• Runtime optimization of code using profilers.
• Experience with CUDA parallel programming.
We believe that building self-driving vehicles 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. NVIDIA is widely considered to be one of the technology world’s most desirable employers with some of the most forward-thinking people in the world working here. If you're entrepreneurial and autonomous, we want to hear from you! NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
What You'll Be Doing:
• Generate real-time 3D world model utilized by planning, incorporating a variety of inputs from sensors and external sources.
• Enable HD mapless driving in complex urban scenarios by creating enriched BEV models of the world.
• Design and integrate algorithmic solutions into the core of NVIDIA AV.
• Write safe embedded software code to run in real-time systems.
• Develop highly efficient product code in C++ and make use of algorithmic parallelism offered by GPGPU programming (CUDA).
• Produce code and designs following automotive quality and safety standards.
What We Need To See:
• Bachelor’s / Master’s / PhD in Computer Science or a related field with 2+ years of experience.
• Software industry experience.
• Strong C++ development skills.
• Passion for robotics and autonomous vehicles.
• Drive to learn new things and tackle meaningful problems.
• Outstanding communication and cross-team collaboration.
• Independent and analytical software engineering skills.
• Ability to work in both Chinese and English languages.
• Software development on embedded or automotive platforms.
Ways To Stand Out From The Crowd:
• Background in 3D geometry, computer vision, or state estimation algorithms like Kalman filters, particle filters.
• Understanding of ADASISv2 as well as crowdsourced maps and geographic information systems (GIS).
• Runtime optimization of code using profilers.
• Experience with CUDA parallel programming.
We believe that building self-driving vehicles 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. NVIDIA is widely considered to be one of the technology world’s most desirable employers with some of the most forward-thinking people in the world working here. If you're entrepreneurial and autonomous, we want to hear from you! NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
公司介绍
NVIDIA GPU 定义了 现代计算机图形技术
GPU 将实时可编程着色技术变为现实，为艺术家提供无限的调色板，供其挥洒创意。之后，我们一直引领着视觉计算领域的发展。
GEFORCE 游戏型 PC - 全球超大的 游戏平台
计算机游戏业的产值高达 1000 亿美元， 是全球超级大的娱乐产业。在这个拥有 1 亿游戏玩家的产业中，超级大的平台就是 NVIDIA GeForce。GeForce® GTX GPU 和 GeForce Experience™ 应用程序将 日常用的 PC 改造为性能强大的游戏机。
NVIDIA GPU 彻底改变了计算领域
2006 年，我们开发出 CUDA 编程模型和 Tesla GPU 平台，将 GPU 的并行处理功能开放给通用型计算使用。从此诞生了一种很有效的新型计算方法。如今，高性能计算 (HPC) 和数据中心纷纷选择极其普遍、方便且节能的 GPU 计算作为发展道路。美国和欧洲非常快速的超级计算机，以及重要科研领域时常出现的突破，都依仗它的力量。
GPU 深度学习引爆 AI 时代
人工智能是指使用计算机来模拟人类智力。数据等同于计算机的生活经验，而从数据中学习就是 AI 的发展方式。GPU 深度学习是一种新的计算模型，用来训练深度神经网络从海量数据中识别模式。借助此新模型，图像和语音识别领域涌现了一系列“超人”般的成就，AI 计算时代亦已扬帆起航。
智能工业革命 的大脑
每个行业都已意识到 AI 的巨大潜力。全球的互联网领军企业都在加紧研发智能化的应用程序。世界各地已出现了 1500 多家 AI 新创公司。自动驾驶汽车将给产值高达 10 万亿美元的运输业带来巨变。由 AI 驱动的工业机器人将推动工厂和制造业全面革新。在这场智能工业革命中，GPU 深度学习处于核心位置。我们与全球大型企业技术提供商合作，让每家公司都能利用 AI 的强大功能。
学习机器
过去二十年，NVIDIA 不断重塑自我。 1999 年，NVIDIA 发明了 GPU，这极大地推动了 PC 游戏市场的发展，重新定义了现代计算机图形技术，并彻底改变了并行计算。超级近，GPU 深度学习推动现代 AI 这个新的计算时代不断发展。 NVIDIA 如同一台“学习机器”，通过适应影响世界且只有我们才能处理的棘手新机遇不断前行。
GPU 将实时可编程着色技术变为现实，为艺术家提供无限的调色板，供其挥洒创意。之后，我们一直引领着视觉计算领域的发展。
GEFORCE 游戏型 PC - 全球超大的 游戏平台
计算机游戏业的产值高达 1000 亿美元， 是全球超级大的娱乐产业。在这个拥有 1 亿游戏玩家的产业中，超级大的平台就是 NVIDIA GeForce。GeForce® GTX GPU 和 GeForce Experience™ 应用程序将 日常用的 PC 改造为性能强大的游戏机。
NVIDIA GPU 彻底改变了计算领域
2006 年，我们开发出 CUDA 编程模型和 Tesla GPU 平台，将 GPU 的并行处理功能开放给通用型计算使用。从此诞生了一种很有效的新型计算方法。如今，高性能计算 (HPC) 和数据中心纷纷选择极其普遍、方便且节能的 GPU 计算作为发展道路。美国和欧洲非常快速的超级计算机，以及重要科研领域时常出现的突破，都依仗它的力量。
GPU 深度学习引爆 AI 时代
人工智能是指使用计算机来模拟人类智力。数据等同于计算机的生活经验，而从数据中学习就是 AI 的发展方式。GPU 深度学习是一种新的计算模型，用来训练深度神经网络从海量数据中识别模式。借助此新模型，图像和语音识别领域涌现了一系列“超人”般的成就，AI 计算时代亦已扬帆起航。
智能工业革命 的大脑
每个行业都已意识到 AI 的巨大潜力。全球的互联网领军企业都在加紧研发智能化的应用程序。世界各地已出现了 1500 多家 AI 新创公司。自动驾驶汽车将给产值高达 10 万亿美元的运输业带来巨变。由 AI 驱动的工业机器人将推动工厂和制造业全面革新。在这场智能工业革命中，GPU 深度学习处于核心位置。我们与全球大型企业技术提供商合作，让每家公司都能利用 AI 的强大功能。
学习机器
过去二十年，NVIDIA 不断重塑自我。 1999 年，NVIDIA 发明了 GPU，这极大地推动了 PC 游戏市场的发展，重新定义了现代计算机图形技术，并彻底改变了并行计算。超级近，GPU 深度学习推动现代 AI 这个新的计算时代不断发展。 NVIDIA 如同一台“学习机器”，通过适应影响世界且只有我们才能处理的棘手新机遇不断前行。
深圳南山区威新软件科技园8号楼5层
校园宣讲会
东北大学
教学馆204
南开大学
伯苓楼一楼报告厅
西安交通大学
西安电子科技大学(陕西省西安市雁塔区太白南路2号)阶教301
面试经验
匿名用户
面试英伟达的集成电路IC设计·上海
面试通过
先自我介绍
然后针对简历问项目细节，
最后问了IC设计基础知识，亚稳态跨时钟域等。
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