Design Verification 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:2014-08-06
- 工作地点:深圳
- 招聘人数:1
- 职位月薪:面议
- 职位类别:测试工程师 电池/电源开发
职位描述
Position Title: Design verification engineer
Job Description/Qualifications:
Board/System Qualifying Engineer for mobile systems and graphics products.
This position will be responsible for qualification and signal integrity measurement of state-of-the-art board level/system level using NVIDIA silicon chip products. Qualification and signal integrity measurement may include tablet motherboards, graphics cards, embedded system products, multimedia systems, and more. Contribute system and board level engineering expertise to specification and design of the latest complex products. Successful candidate will be in a dynamic engineering environment, with the opportunity to participate in a wide variety of exciting and challenging projects.
Responsibilities:
- Qualification and signal integrity measurement for next generation mobile product and graphics platforms;
- Signal integrity/DC-DC Power solutions testing and debugging;
- Signal integrity failure analysis;
- Signal quality measurement and analysis of high speed busses;
- Signal quality measurement and analysis of analog DC/DC power designs
Minimum Requirement:
- Major in EE, or related field. BS or above;
- Experience with PC architecture;
- Good system knowledge of Desktop PC motherboards, Notebook motherboards, Graphics, handheld products, embedded systems.
- Knowledge with at least 2 of the followings: Signal integrity, Switch power supply, High speed bused such as PCI/PCI Express busses, SDRAM/DDR.
- Good English speaking and listening.
Desirable Experience:
- Experience in measuring/designing DC/DC power solution;
- Experience with using high speed oscilloscopes for signal quality measurement is a plus (e.g. tektronics TDS7404, DSA71254)
- Experience in designing experiments and evaluating results are preferred.
- C/C++ programming is preferred
- Mat-lab /Lab-view is preferred
- ARM application
Job Description/Qualifications:
Board/System Qualifying Engineer for mobile systems and graphics products.
This position will be responsible for qualification and signal integrity measurement of state-of-the-art board level/system level using NVIDIA silicon chip products. Qualification and signal integrity measurement may include tablet motherboards, graphics cards, embedded system products, multimedia systems, and more. Contribute system and board level engineering expertise to specification and design of the latest complex products. Successful candidate will be in a dynamic engineering environment, with the opportunity to participate in a wide variety of exciting and challenging projects.
Responsibilities:
- Qualification and signal integrity measurement for next generation mobile product and graphics platforms;
- Signal integrity/DC-DC Power solutions testing and debugging;
- Signal integrity failure analysis;
- Signal quality measurement and analysis of high speed busses;
- Signal quality measurement and analysis of analog DC/DC power designs
Minimum Requirement:
- Major in EE, or related field. BS or above;
- Experience with PC architecture;
- Good system knowledge of Desktop PC motherboards, Notebook motherboards, Graphics, handheld products, embedded systems.
- Knowledge with at least 2 of the followings: Signal integrity, Switch power supply, High speed bused such as PCI/PCI Express busses, SDRAM/DDR.
- Good English speaking and listening.
Desirable Experience:
- Experience in measuring/designing DC/DC power solution;
- Experience with using high speed oscilloscopes for signal quality measurement is a plus (e.g. tektronics TDS7404, DSA71254)
- Experience in designing experiments and evaluating results are preferred.
- C/C++ programming is preferred
- Mat-lab /Lab-view is preferred
- ARM application
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