NVIDIA_新加坡商輝達開發有限公司台灣分公司
Senior Physical Design Engineer
9/16 更新
Array
フルタイム
中級以上
6 ~ 10 が応募中

給与 & 勤務地

待遇面談
(給与条件は常に4万台湾ドル以上)
新竹市

条件要件

職務経験
1年以上

職務内容

ASIC PD team is hiring both junior and senior engineers, whose work scope is physical design from RTL to GSDII: design quality check, synthesis, formal check, partitioning, constraint (for both design and process), async check, timing analysis/fixing/signoff, also all related flow.
Join us, you will work together with expertise in all these areas; you will not only work for physical application, but also drive physical friendly design with all related teams; you will work for the most advanced process/technology, the biggest chip in the world.
What you’ll be doing:
.STA for hierarchical design.
.Constraints creation and validation, timing budget.
.Timing closure for hierarchical design.
.Special timing closure, such as io, test, clock etc.
.Async design checks.
.Synthesis, Netlist quality check, Formal Verification.
.Implement chip partition and floorplan.
.Function eco creation
.Develop and enhance entire timing closure flow from frontend (pre-layout) to backend (post-layout)
.Flow automation development, Methodology in any of above areas.
What we need to see:
.BSEE, MSEE is preferred
.Project experience in IC design implementation
.Courses taken in circuit design, digital design
.Hand-on experience in EDA software from Synopsys (DC/PT/Formality), Cadence (LEC) is preferred
Ways to stand out from the crowd:
.Proficient user of Perl, Python or TCL is preferred
.Excellent English communication skill
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people on the planet working for us. If you're creative and autonomous, we want to hear from you!
応募者数
2~2人
学歴要件
大學(學院)以上
勤務時間
日班
休暇制度
依公司規定
職種カテゴリ
Digital IC Design Engineer
IC Layout Engineer
台北市內湖區
其他半導體相關業
About NVIDIA -- Career Site https://www.nvidia.com/en-us/about-nvidia/careers/ NVIDIA 以其革命性產品 GPU 為核心,協助全球開發者與研究人員進行人工智慧、機器學習與視覺運算的創新與應用,深耕電競、專業視覺化、資料中心與自駕車四大領域,除了硬體上的支持,NVIDIA 也針對各項重點市場提供軟體、作業平台與開發者套件,同時舉辦包含GPU技術大會與深度學習實作坊在內的教育訓練與講座,持續開發新技術並拓展相關市場。
6 ~ 10 が応募中