採用
必須スキル
Python
Not only pursuing the outstanding chip performance, NVIDIA also keeps chasing for the power efficiency in every product. Perf-per-Watt is crucial to us. Power Analysis and Optimization Team is responsible for helping IP teams to define power targets with any architecture change or new added feature; to find power saving opportunities throughout the ASIC design process, starting from architecture define to the P&R stage; and to solve any potential power issues that might have negative impacts on functionality and performance. As a member of our team, you will work closely with IP Architects, ASIC Design/Verification Engineers, Physical Design team and many other teams to meet the pre-defined power targets. Your contributions will make each Nvidia GPU and SOC products be more energy efficient, achieve excellent Perf-per-Watt and maintain the competitive advantage in the market.
What you'll be doing:
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Understand Functionality, Architecture, Feature Algorithm and RTL implementation of IP design.
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Create dedicated IP-level Power model for early power estimation, if any architecture change or new added feature needed.
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Co-work with IP owner to define the power target with different workloads and application scenarios.
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Use internal-developed power flow and analysis tools to look for power saving opportunities; drive IP owner to implement the fixes.
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Explore new methodology to identify more wasted activities in the design and find solutions to save the power.
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Develop automation flow to help improve the efficiency of power analysis.
What we need to see:
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MS with 1~3 years of experience or PhD in related fields.
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Basic understanding of the concept of power and common low power design techniques.
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Familiar with PTPX, Power Artist and ASIC design flow including RTL coding, synthesis, P&R.
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Strong coding skills, preferably in Python, C++, tcl script.
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Good verbal/written English and communication skills.
Ways to stand out from the crowd:
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Low power design experience is a big plus.
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Power Modeling/Analysis experience is a plus.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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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
4.1
10件のレビュー
ワークライフバランス
3.5
報酬
4.2
企業文化
4.3
キャリア
4.5
経営陣
4.0
75%
友人に勧める
良い点
Great culture and supportive environment
Smart colleagues and excellent people
Cutting-edge technology and learning opportunities
改善点
Team-dependent experience and outcomes
Work-life balance issues with long hours
Politics and influence over competence
給与レンジ
73件のデータ
Junior/L3
Mid/L4
Junior/L3 · Analyst
7件のレポート
$170,275
年収総額
基本給
$130,981
ストック
-
ボーナス
-
$155,480
$234,166
面接体験
7件の面接
難易度
3.1
/ 5
体験
ポジティブ 0%
普通 86%
ネガティブ 14%
面接プロセス
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Interview
5
System Design Interview
6
Team Review
よくある質問
Coding/Algorithm
System Design
Technical Knowledge
Behavioral/STAR
ニュース&話題
Negotiating NVIDIA's Offer
Base, stock, and sign-on negotiable. Recruiters invested in closing candidates. CEO reviews all 42K employee salaries monthly. Stock growth has made many employees millionaires.
News
·
NaNw ago
NVIDIA Company Reviews
WLB rated 3.9/5 (lowest category). 64% satisfied with WLB but 53% feel burnt out. Compensation rated 4.4-4.5/5. Experience highly team-dependent.
News
·
NaNw ago
NVIDIA Interview Discussions
Technical bar is high with 4-6 rounds. Process takes 4-8 weeks. Expect C++ questions, LeetCode medium, and system design. Difficulty rated 3.16/5.
News
·
NaNw ago
NVIDIA Culture Discussions
Team-dependent experience; sink-or-swim culture that rewards high performers but can be overwhelming. No politics, flat structure, but demanding workload with some teams requiring evening/weekend work.
News
·
NaNw ago


