
Pioneering accelerated computing and AI
ASIC Physical Design Methodology Engineer
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: ASIC/P&R/DFT/SI/ARCH etc.; you will work for the most advanced process/technology, the biggest chip in the world.
What You’ll Be Doing:
-
Develop timing analysis and timing closure methodologies, and implement flow automation for large-scale, high-speed semicustom chips based on deep submicron processes.
-
Establish methodologies for timing constraints and SDC (release, including automatic constraint generation, constraint linting, and validation of timing exceptions.
-
Take responsibility for EDA tool evaluation and collaborate with EDA vendors to enhance commercial timing signoff tools, constraint lint tools and spice simulation tools.
-
Develop and validate flows for PT-spice regression, silicon correlation for high-speed designs.
-
Develop flows/recommendations on STA and PNR in deep submicron physical effects aging, IR drop, crosstalk, noise and etc.
-
Develop flows and methodologies to improve design performance, predictability, and silicon reliability.
What We Need To See:
-
Master’s or PhD degree in Electrical Engineering or Computer Engineering, with 2+ years of hands-on experience in physical design implementation.
-
Proven experience in synthesis, timing constraints definition, timing analysis, and timing closure.
-
Advanced proficiency in commercial STA tools, such as Synopsys Prime Time, Spice, Redhawk, Cadence Tempus, Synopsys TCM, or Ausdia Time Vision.
-
Solid expertise in STA principles and timing signoff processes including good knowledge of crosstalk analysis, IR-drop, electro-migration, noise, OCV, timing margins.
-
Hands-on experience in advanced CMOS technologies, design with FinFET technology 7nm/5nm/3nm and beyond.
-
Proficiency in at least one programming/scripting language, including Perl, TCL, Python, or C++.
-
Strong verbal and written communication skills, with the ability to collaborate effectively in cross-functional teams.
Ways To Stand Out From The Crowd:
- Experience in flow development or automation for ASIC backend design.
浏览量
1
申请点击
0
Mock Apply
0
收藏
0
相似职位

Software Engineer 2
Microsoft · China, Shanghai, Shanghai; China, Beijing, Beijing
Quality Engineer
Nextracker · China, Shenzhen
Safety Engineer
Nextracker · China, Shenzhen

SMTS Application Engineer
Analog Devices · China, Shanghai, Pudong, ZuChongzhi

Software Engineer - C#
Maersk · China, Sichuan, Chengdu, 610041
关于NVIDIA

NVIDIA
PublicA computing platform company operating at the intersection of graphics, HPC, and AI.
10,001+
员工数
Santa Clara
总部位置
$4.57T
企业估值
评价
10条评价
4.4
10条评价
工作生活平衡
2.8
薪酬
4.5
企业文化
4.2
职业发展
4.3
管理层
3.8
78%
推荐率
优点
Cutting-edge technology and innovation
Excellent compensation and benefits
Great team culture and collaboration
缺点
High pressure and expectations
Poor work-life balance and long hours
Fast-paced environment leading to burnout
薪资范围
79个数据点
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Analyst
7份报告
$170,275
年薪总额
基本工资
$130,981
股票
-
奖金
-
$155,480
$234,166
面试评价
5条评价
难度
3.0
/ 5
面试流程
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
常见问题
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Past Experience