招聘
As a Solutions Architect, AI Infrastructure at NVIDIA, you will have the ground breaking opportunity to lead the charge in deploying innovative AI solutions. Our world-class team is dedicated to pushing the boundaries of what is possible with AI and accelerated computing. Your expertise will help us continue to compete at the highest level and drive flawless execution in our projects!
What you'll be doing:
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Working with NVIDIA AI Native customers on data center GPU server and networking infrastructure deployments.
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Guiding customer discussions on network topologies, compute/storage, and supporting the bring-up of server/network/cluster deployments.
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Identifying new project opportunities for NVIDIA products and technology solutions in data center and AI applications.
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Conducting regular technical meetings with customers as a trusted advisor, discussing product roadmaps, cluster debugging, and new technology introductions.
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Building custom demonstrations and proofs of concept to address critical business needs.
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Analyzing and debugging compute/network performance issues.
What we need to see:
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BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or related fields, or equivalent experience.
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7+ years of experience in Solution Engineering or similar roles.
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System-level understanding of server architecture, NICs, Linux, system software, and kernel drivers.
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Practical knowledge of networking - switching & routing for Ethernet/Infiniband, and data center infrastructure (power/cooling).
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Familiarity with DevOps/MLOps technologies such as Docker/containers and Kubernetes.
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Effective time management and ability to balance multiple tasks.
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Excellent communication skills for articulating ideas and code clearly through documents and presentations.
Ways to stand out from the crowd:
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External customer-facing skills and experience.
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Experience with the bring-up and deployment of large clusters.
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Proficiency in systems engineering, coding, and debugging, including C/C++, Linux kernel, and drivers.
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Hands-on experience with NVIDIA systems/SDKs (e.g., CUDA), NVIDIA networking technologies (e.g., DPU or equivalent experience, RoCE, Infini Band), and/or ARM CPU solutions.
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Familiarity with virtualization technology concepts.
If you are an exceptionally skilled Solutions Architect with a passion for AI and a proven track record in engineering, we want to hear from you. Join us in our mission to redefine the future of computing!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until March 13, 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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About NVIDIA

NVIDIA
PublicA computing platform company operating at the intersection of graphics, HPC, and AI.
10,001+
Employees
Santa Clara
Headquarters
$4.57T
Valuation
Reviews
4.1
10 reviews
Work Life Balance
3.5
Compensation
4.2
Culture
4.3
Career
4.5
Management
4.0
75%
Recommend to a Friend
Pros
Great culture and supportive environment
Smart colleagues and excellent people
Cutting-edge technology and learning opportunities
Cons
Team-dependent experience and outcomes
Work-life balance issues with long hours
Politics and influence over competence
Salary Ranges
47 data points
Junior/L3
Mid/L4
Junior/L3 · Analyst
7 reports
$170,275
total / year
Base
$130,981
Stock
-
Bonus
-
$155,480
$234,166
Interview Experience
7 interviews
Difficulty
3.1
/ 5
Experience
Positive 0%
Neutral 86%
Negative 14%
Interview Process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Interview
5
System Design Interview
6
Team Review
Common Questions
Coding/Algorithm
System Design
Technical Knowledge
Behavioral/STAR
News & Buzz
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
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