
Pioneering accelerated computing and AI
ASIC Methodology Engineer - New College Grad 2026
必須スキル
Python
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
This role exists to redefine how AI hardware is built by inventing the future wave of hardware development methodology. You will pioneer AI-driven and sophisticated automation techniques that transform how sophisticated ASICs are conceived, explored, and brought to closure. Working shoulder-to-shoulder with an outstanding ASIC development team, you will invent novel architectures and end-to-end workflows that transcend traditional infrastructure, unlocking new levels of capability across logic design, verification, and physical design.
Join us as we drive towards the next generation of artificial intelligence technology!
What you'll be doing:
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Take a comprehensive view of the ASIC development lifecycle, identifying cross-stage bottlenecks and opportunities where automation and AI can improve predictability, convergence, and turnaround time.
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Identify, curate, and leverage real-time data to enable effective AI models and analytics, working with infrastructure teams to ensure scalable and secure data pipelines.
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Establish quantitative metrics to measure efficiency, quality, and cycle-time improvements; use data-driven insights to guide methodology decisions and prioritize investments.
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Serve as a technical catalyst within both the team and the wider company by sharing best practices, publishing internal guidelines, and mentoring engineers on emerging AI-enabled development techniques.
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Track advances in AI, EDA, and hardware design research, evaluating their applicability and guiding strategic bets that align with long-term product and technology roadmaps.
What we need to see:
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Bachelor's or Master's degree in Computer Science, Computer Engineering, or Electrical Engineering (or equivalent experience).
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First-hand industry experience with RTL, functional verification, formal verification, or physical design would be an asset.
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Programming experience with Python, PERL, Make, and shell scripting.
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Experience with AI frameworks including knowledge of agentic flow development.
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Standout colleague with excellent verbal and written communication skills.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 80,000 CAD - 130,000 CAD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until March 16, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
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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
ワークライフバランス
2.8
報酬
4.5
企業文化
4.2
キャリア
4.3
経営陣
3.8
78%
知人への推奨率
良い点
Cutting-edge technology and innovation
Excellent compensation and benefits
Great team culture and collaboration
改善点
High pressure and expectations
Poor work-life balance and long hours
Fast-paced environment leading to burnout
給与レンジ
79件のデータ
Junior/L3
Mid/L4
Senior/L5
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
面接レビュー
レビュー5件
難易度
3.0
/ 5
面接プロセス
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
最新情報
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.
reddit/blind
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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.
reddit/blind
·
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.
reddit/blind
·
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.
reddit/blind
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