招聘
必备技能
Kubernetes
As the world changes direction toward Generative AI, the network has become the computer.
We are looking for a visionary leader to head our USA Networking Cluster Validation team, where you will simulate the world’s largest AI data centers to ensure our Infini Band and Ethernet solutions define the next era of computing.
If you want to sit at the epicenter of the AI revolution and push the limits of hyper-scale networking, join us at NVIDIA.What you’ll be doing:Lead a high-performance engineering team dedicated to the qualification and integration of groundbreaking Networking AI/HPC cluster solutions.
Direct the design and testing of massive NVIDIA setups that simulate the production workloads of the world’s largest AI data center customers.
Partner with R&D to review architectural designs and requirements for next-generation features across the entire Ethernet and Infini Band portfolio (switches and network adapters).Oversee the creation of complex network topologies to ensure comprehensive product coverage, emphasizing the emulation of complex customer environments at scale.
Drive the roadmap for the testing automation team, ensuring seamless integration of new features into the software release cycles for data center products.
Serve as the primary Engineering Lead (PIC) for full verification cycles; assist in debugging complex customer use cases and perform root-cause analysis for critical system issues.
Manage comprehensive testing scopes including Regression, Performance, Functional, and Scale, providing executive-level summary reports on release readiness.
Foster a culture of technical excellence by mentoring team members and driving professional growth within the organization.
What we need to see:Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or equivalent experience.8+ years of overall technical experience in networking or systems engineering.5+ years of experience in a formal team leadership or engineering management role.
Proven ability to multi-task, drive people toward deadlines, and manage high-priority tasks in a fast-paced environment.
Excellent communication and technical presentation skills; the ability to explain complex technical concepts to both R&D and executive stakeholders.
Strong debugging, analytical, and problem-solving skills with a "fast-learner" approach.
Ways to stand out from the crowd:Proven experience in testing and qualifying AI cluster infrastructure, including performance tuning for large-scale GPU-to-GPU communication.
Deep experience with technologies like KVM, HyperV, or Kubernetes.
Advanced knowledge of Infini Band and Ethernet protocols (RDMA, RoCE).Hands-on experience in programming or scripting (Python, Bash) for automated validation frameworks.
With competitive salaries and a generous benefits package, we are 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 and, due to unprecedented growth, our exclusive engineering teams are rapidly growing.
If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. base salary will be determined based on your location, experience, and the pay of employees in similar positions.
The base salary range is 224,000 USD - 356,500 USD for
Level: 3, and 272,000 USD - 431,250 USD for
Level: 4.You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until March 1, 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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关于NVIDIA

NVIDIA
PublicA computing platform company operating at the intersection of graphics, HPC, and AI.
10,001+
员工数
Santa Clara
总部位置
$4.57T
企业估值
评价
4.1
10条评价
工作生活平衡
3.5
薪酬
4.2
企业文化
4.3
职业发展
4.5
管理层
4.0
75%
推荐给朋友
优点
Great culture and supportive environment
Smart colleagues and excellent people
Cutting-edge technology and learning opportunities
缺点
Team-dependent experience and outcomes
Work-life balance issues with long hours
Politics and influence over competence
薪资范围
73个数据点
Junior/L3
Mid/L4
Junior/L3 · Analyst
7份报告
$170,275
年薪总额
基本工资
$130,981
股票
-
奖金
-
$155,480
$234,166
面试经验
7次面试
难度
3.1
/ 5
体验
正面 0%
中性 86%
负面 14%
面试流程
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Interview
5
System Design Interview
6
Team Review
常见问题
Coding/Algorithm
System Design
Technical Knowledge
Behavioral/STAR
新闻动态
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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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.
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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.
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NaNw ago