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NVIDIA’s HW team is seeking highly motivated Engineers to assist in developing and integrating AI capabilities into verification tasks. As part of this team, you will play a key role in improving verification flows and creating AI agents that boost efficiency across teams by deploying various verification techniques. You will build and maintain the core infrastructure needed to run these agents in production, ensuring smooth and effective performance. If you are passionate about the latest research and innovative technologies crafting LLM and generative AI, this role and team offer an exciting chance to lead modern advancements.
What you'll be doing:
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Play a key role in design, development, and deployment of high-performance agents’ frameworks and tools.
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Develop AI agents that process sizable codebases and bypass failures to support coding and debugging efforts.
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Collaborate with HW engineering teams to understand their specific needs and challenges and ensure our agent platform is well-suited to these needs.
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Develop and optimize retrieval and generation algorithms for enterprise data (text, code, and images) to build advanced AI applications.
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Stay ahead by engaging with the latest advancements in machine learning and AI to build brand new solutions.
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Integrate technology-based optimizations into existing tools and flows.
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Lead with purpose and maintain high-quality engineering practices that encourage others to achieve excellence.
What we need to see:
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BS/MS/PhD or equivalent experience in CS/CE/EE/Mathematics.
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5+ years of relevant experience.
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Strong proficiency in agentic LLM Libraries/Technologies like Lang Chain, Lang Graph, Auto Gen, CrewAI, RAGs, vector databases, timely engineering, knowledge graphs, etc.
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Solid understanding of GPU/CPU architectures and builds.
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Strong analytical skills to solve complex problems.
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Knowledge of HW verification methodologies and techniques.
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Hands-on experience with Verilog/System Verilog HDLs, temporal logic assertions, and able to understand complex RTL quickly.
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Excellent command of scripting using Python.
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Excellent interpersonal skills, able to effectively collaborate and work with members of a distributed team.
Ways to stand out from the crowd:
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Proven track record of integrating AI into hardware verification processes.
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Experience with innovative generative AI technologies.
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Demonstrated leadership in cross-functional team environments.
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Strong problem-solving abilities.
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Outstanding skills in optimizing AI algorithms for performance.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until April 17, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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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
L3
L4
L5
L3 · Data Scientist IC2
0件のレポート
$177,542
年収総額
基本給
-
ストック
-
ボーナス
-
$150,910
$204,174
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.
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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.
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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.
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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.
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