System Design Engineer
辉达半导体(深圳)有限公司(NVIDIA)
- 公司规模:5000-10000人
- 公司性质:外资(欧美)
- 公司行业:电子技术/半导体/集成电路
职位信息
- 发布日期:2016-10-13
- 工作地点:深圳-南山区
- 招聘人数:1人
- 工作经验:3-4年经验
- 职位月薪:15000-30000/月
- 职位类别:硬件工程师
职位描述
职位描述:
What you’ll be doing:
? Hardware Design for GeForce, Quadro and Tesla GPU products, automotive cockpit computer and self-driving computer
? Board/System level circuit research and Development
? Schematic concept design, Component selection and Bill of Material generation
? Board/system level Hardware debug and verification
? Responsible for product design issue in overall lifecycle
? Co-work with Silicon solution team for chip level bring up
? Guiding layout engineer for the placement, co-layout and routing
? Co-work with Lead validation engineer to come out qualification plan
What we need to see:
? BS/MSEE AND 4+ years of system and circuit/board design experience
? Experience with high speed board design techniques
? Experience with PC architecture
? Experience with design tools (such as OrCad, Concept, Allegro, etc.)
? Proven ability to deliver complex projects from specification through to production
? Experience with at least 4 of the following:
* Design for Manufacturing
* Design for Compliance (EMI, Safety)
* Signal Integrity
* PCI-E bus
* PCB layout designers
* PCB fabrication and assembly
* Board level bring-up, debug, and verification
? Deep system knowledge of at least 2 of the following areas:
* DC/DC Power design, debugging and measurement
* Desktop PC motherboards
* Notebook computers
* Graphics
Ways to stand out from the crowd:
? Experience in Board level pre layout and post layout simulations for signal integrity analysis.
? Understanding of VLSI design process and bring-up
? Successful Candidate will possess the following traits:
? Can do attitude
- High energy
- Leadership
- Ability to learn complex concepts in a fast pace environment
- Strong desire on creativity
- Quick thinking and good decision making skills
- Good communication skills (written and oral)
举报
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What you’ll be doing:
? Hardware Design for GeForce, Quadro and Tesla GPU products, automotive cockpit computer and self-driving computer
? Board/System level circuit research and Development
? Schematic concept design, Component selection and Bill of Material generation
? Board/system level Hardware debug and verification
? Responsible for product design issue in overall lifecycle
? Co-work with Silicon solution team for chip level bring up
? Guiding layout engineer for the placement, co-layout and routing
? Co-work with Lead validation engineer to come out qualification plan
What we need to see:
? BS/MSEE AND 4+ years of system and circuit/board design experience
? Experience with high speed board design techniques
? Experience with PC architecture
? Experience with design tools (such as OrCad, Concept, Allegro, etc.)
? Proven ability to deliver complex projects from specification through to production
? Experience with at least 4 of the following:
* Design for Manufacturing
* Design for Compliance (EMI, Safety)
* Signal Integrity
* PCI-E bus
* PCB layout designers
* PCB fabrication and assembly
* Board level bring-up, debug, and verification
? Deep system knowledge of at least 2 of the following areas:
* DC/DC Power design, debugging and measurement
* Desktop PC motherboards
* Notebook computers
* Graphics
Ways to stand out from the crowd:
? Experience in Board level pre layout and post layout simulations for signal integrity analysis.
? Understanding of VLSI design process and bring-up
? Successful Candidate will possess the following traits:
? Can do attitude
- High energy
- Leadership
- Ability to learn complex concepts in a fast pace environment
- Strong desire on creativity
- Quick thinking and good decision making skills
- Good communication skills (written and oral)
职能类别: 硬件工程师
关键字: 系统设计 板级设计 SI Signal Integrity DC PCB
公司介绍
关于 NVIDIA-人工智能计算领域的领导者
从游戏到人工智能计算, 实践证明,GPU 能够非常有效地解决计算机科学领域中一些极其复杂的问题。GPU 一开始用作模拟人类想象力的引擎,创造出视频游戏和好莱坞电影中令人惊叹的虚拟世界。如今,NVIDIA GPU 用于模拟人类智力,运行深度学习算法,并在能够感知和理解世界的计算机、机器人和自动驾驶汽车中发挥大脑的作用。NVIDIA 的“AI 计算公司”名头越来越为人所知。
这正是我们毕生的工作 - 增强人类的想象力和智力。
从游戏到人工智能计算, 实践证明,GPU 能够非常有效地解决计算机科学领域中一些极其复杂的问题。GPU 一开始用作模拟人类想象力的引擎,创造出视频游戏和好莱坞电影中令人惊叹的虚拟世界。如今,NVIDIA GPU 用于模拟人类智力,运行深度学习算法,并在能够感知和理解世界的计算机、机器人和自动驾驶汽车中发挥大脑的作用。NVIDIA 的“AI 计算公司”名头越来越为人所知。
这正是我们毕生的工作 - 增强人类的想象力和智力。
联系方式
- Email:sh-recruitment@nvidia.com
- 公司地址:地址:span北京市朝阳区东三环中路5号财富金融中心40层4001室