英伟达
上海 ·电子/半导体/集成电路 ·100-499人
产品总监- 自动驾驶 (英文流利)
50-80K·13薪
深圳
10年以上
本科
全职
职位描述
Want to join a fun, creative company that is on the cutting edge of outstanding technologies? NVIDIA is developing groundbreaking solutions in some of the world’s most exciting technology areas including Virtual Reality, Artificial Intelligence, Deep Learning and Autonomous Vehicles.
We are looking for a Director of Product Planning to join our NVIDIA DRIVE Product team to define and develop products to grow our Autonomous Vehicles business. As a Product Planning Director, you will build and lead a team to mold NVIDIA innovative autonomous vehicles' technology into AV products. You will work with forward-thinking people in engineering, operations and marketing to lead every phase of product, from conception to obsolescence.
What you will be doing:
• Setting the vision for the product planning team, maximizing your deep understanding of customer needs, knowledge of the AV industry, and out-of-the-box thinking
• Lead a team to drive all aspects of product planning including data collection, ML ops, Data ops, meeting KPIs, HIL, SIL and customer management
• Drive alignment with engineering teams on system design, use case analysis, architectural analysis
• Define all aspects of system including safety, SOTIF, AoUs and work with safety teams to get the deliverables in place
• Responsible for scouting the industry for advanced AV products and regularly publish competitive reports
• You'll be at the forefront of defining and driving product planning and engineering execution to identify key outcomes and driving to achieve success metrics across the AV organization
• Communicate continuously with customers, understanding their evolving needs to ensure product competitiveness and translate that into product roadmap to drive execution
What we need to see:
• BS/MS (or equivalent experience) in engineering with 15+ years of experience in both software and hardware platforms.
• 8+ years of leadership experience.
• You are a Self-starter, with a 'can-do' attitude in a multifaceted environment.
• Experience working in a software development environment
• Experience with product requirements management tools (e.g. JAMA)
• Track record of leading the launch of technically complex products to customers
• Strong technical leadership and communication skills, with the ability to drive alignment across large organizations and with customers
Ways to stand out from the crowd:
• Background in autonomous vehicles, Driver Assist technology, and/or machine learning
• Exposure leading development of ADAS functions/products
• Experience with customer management & interaction
We are looking for a Director of Product Planning to join our NVIDIA DRIVE Product team to define and develop products to grow our Autonomous Vehicles business. As a Product Planning Director, you will build and lead a team to mold NVIDIA innovative autonomous vehicles' technology into AV products. You will work with forward-thinking people in engineering, operations and marketing to lead every phase of product, from conception to obsolescence.
What you will be doing:
• Setting the vision for the product planning team, maximizing your deep understanding of customer needs, knowledge of the AV industry, and out-of-the-box thinking
• Lead a team to drive all aspects of product planning including data collection, ML ops, Data ops, meeting KPIs, HIL, SIL and customer management
• Drive alignment with engineering teams on system design, use case analysis, architectural analysis
• Define all aspects of system including safety, SOTIF, AoUs and work with safety teams to get the deliverables in place
• Responsible for scouting the industry for advanced AV products and regularly publish competitive reports
• You'll be at the forefront of defining and driving product planning and engineering execution to identify key outcomes and driving to achieve success metrics across the AV organization
• Communicate continuously with customers, understanding their evolving needs to ensure product competitiveness and translate that into product roadmap to drive execution
What we need to see:
• BS/MS (or equivalent experience) in engineering with 15+ years of experience in both software and hardware platforms.
• 8+ years of leadership experience.
• You are a Self-starter, with a 'can-do' attitude in a multifaceted environment.
• Experience working in a software development environment
• Experience with product requirements management tools (e.g. JAMA)
• Track record of leading the launch of technically complex products to customers
• Strong technical leadership and communication skills, with the ability to drive alignment across large organizations and with customers
Ways to stand out from the crowd:
• Background in autonomous vehicles, Driver Assist technology, and/or machine learning
• Exposure leading development of ADAS functions/products
• Experience with customer management & interaction
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。
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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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