
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:
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Develop timing analysis and timing closure methodologies, and implement flow automation for large-scale, high-speed semicustom chips based on deep submicron processes.
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Establish methodologies for timing constraints and SDC (release, including automatic constraint generation, constraint linting, and validation of timing exceptions.
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Take responsibility for EDA tool evaluation and collaborate with EDA vendors to enhance commercial timing signoff tools, constraint lint tools and spice simulation tools.
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Develop and validate flows for PT-spice regression, silicon correlation for high-speed designs.
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Develop flows/recommendations on STA and PNR in deep submicron physical effects aging, IR drop, crosstalk, noise and etc.
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Develop flows and methodologies to improve design performance, predictability, and silicon reliability.
What We Need To See:
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Master’s or PhD degree in Electrical Engineering or Computer Engineering, with 2+ years of hands-on experience in physical design implementation.
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Proven experience in synthesis, timing constraints definition, timing analysis, and timing closure.
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Advanced proficiency in commercial STA tools, such as Synopsys Prime Time, Spice, Redhawk, Cadence Tempus, Synopsys TCM, or Ausdia Time Vision.
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Solid expertise in STA principles and timing signoff processes including good knowledge of crosstalk analysis, IR-drop, electro-migration, noise, OCV, timing margins.
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Hands-on experience in advanced CMOS technologies, design with FinFET technology 7nm/5nm/3nm and beyond.
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Proficiency in at least one programming/scripting language, including Perl, TCL, Python, or C++.
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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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NVIDIAについて

NVIDIA
PublicA computing platform company operating at the intersection of graphics, HPC, and AI.
10,001+
従業員数
Santa Clara
本社所在地
$4.57T
企業価値
レビュー
10件のレビュー
4.4
10件のレビュー
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2.8
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4.3
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3.8
78%
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Cutting-edge technology and innovation
Excellent compensation and benefits
Great team culture and collaboration
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High pressure and expectations
Poor work-life balance and long hours
Fast-paced environment leading to burnout
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79件のデータ
Junior/L3
Mid/L4
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Junior/L3 · Analyst
7件のレポート
$170,275
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-
ボーナス
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$155,480
$234,166
面接レビュー
レビュー5件
難易度
3.0
/ 5
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1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
よくある質問
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Past Experience
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