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The Chip Design Methodologies team is responsible for establishing ASIC design methodologies, developing shared code, providing design guidance, and driving the adoption of new technologies. The team plays a key role in ensuring chip design teams operate efficiently and adhere to best practices. We are now expanding our focus to AI-powered applications for chip design — leveraging modern AI tools and methods to improve productivity, quality, and turnaround across the design flow. This role offers an exciting opportunity to think innovatively and make a significant impact within a dynamic, technology-focused organization.
What You'll Be Doing:
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Develop innovative AI-powered methodologies and applications for chip design — spanning specification, RTL, verification, and physical design
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Collaborate with chip design stakeholders across architecture, RTL, DV, FV, and physical design teams to understand existing challenges and form the best solutions
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Utilize, develop, and assimilate AI-based tools and flows into the chip design process
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Evaluate cutting-edge AI tools and EDA vendor technologies, and apply them to improve the development process
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Define and enforce design quality standards — lint rules, synthesis guidelines, and coding best practices
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Develop training sessions and guide designers with best design practices, including AI-assisted workflows
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Build automation infrastructure and scripted flows to streamline chip design development
What We Need To See:
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BSc degree in Electrical Engineering
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10+ years hands-on pre silicon design experience
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Strong interpersonal skills, a passion for innovation, and the ability to mentor
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A natural drive to systematize, automate, and improve how things are done
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Strong AI orientation — genuine curiosity about AI-driven development, with a working understanding of the modern AI ecosystem: AI coding assistants, agentic workflows, and prompt-driven engineering practices
Ways To Stand Out From The Crowd:
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Wide system level understanding of the chip design development and flows
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Strong interpersonal skills
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Passion for innovation, quality, efficiency and flows automation
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Chip design experience combined with hands-on AI tool usage - you've used AI to solve real engineering problems
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Experience with CI/CD for hardware development (Git, GitLab, or equivalent)
NVIDIA is widely considered to be one of the technology world’s most desirable employers and has been ranked Israel’s most desirable employer for two consecutive years (2024-2025), reflecting our culture of innovation and excellence, and people-first values. Are you a creative and autonomous engineer who loves a challenge? Come join our networking chip design team and help us developing great products by bringing innovation and raising the efficiency and the quality standard in the team.
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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