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NVIDIA
NVIDIA

Pioneering accelerated computing and AI

ASIC Physical Design Methodology Engineer

职能工程
级别中级
地点China, Shanghai
方式现场办公
类型全职
发布1周前
立即申请

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.

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关于NVIDIA

NVIDIA

NVIDIA

Public

A 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