Jobs
Benefits & Perks
•Professional development budget
•401(k) matching
•Generous paid time off and holidays
•Flexible work arrangements
•Learning
•Flexible Hours
Required Skills
PostgreSQL
React
TypeScript
Be part of NVIDIA as a Software Architecture Engineer, and contribute to the development of brand new AI data centers and networks. Join a team of hard-working engineers and play a vital role in crafting the future of our powerful AI Cloud solutions. Grow within a dynamic, inclusive environment and make a lasting impact in the tech world.
What you'll be doing:
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Design and analyze end-to-end networking architectures for large-scale AI workloads and distributed training systems.
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Pushing the boundaries of AI-cluster networking through performance modeling, simulation, and optimization techniques.
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Defining strategic networking solutions for NVIDIA's AI infrastructure in collaboration with adjacent software and hardware architects.
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Collaborating closely with cross-functional teams to research, prototype, and validate new networking technologies for AI applications.
What we need to see:
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Bachelor’s, Master’s, or PhD in Computer Science, Electrical Engineering, or equivalent experience.
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5+ years of experience building large-scale distributed systems or performance-critical software.
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Deep understanding of deep learning systems, GPU acceleration, and AI model execution flows.
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Solid software engineering skills in C++ and/or Python, with strong familiarity with CUDA or similar platforms.
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Strong system-level thinking across memory, networking, scheduling, and compute orchestration.
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Excellent communication skills and ability to collaborate across diverse technical domains.
Ways to stand out from the crowd:
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The position requires deep knowledge of networking protocols, system architecture, and end-to-end performance analysis.
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Knowledge in high-speed networking technologies, Infini Band, Ethernet/IP, or data center networking.
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Proven experience with network simulation tools, traffic analysis, or networking stack optimization.
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Experience in distributed AI training, parallel computing, or HPC cluster architectures.
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Understanding of GPU computing, CUDA programming, or AI/ML workload characteristics is a plus.
With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the most desirable employers in the world. We have some of the most experienced and talented individuals in the world working for us. If you are creative, autonomous, and thrive on challenges, we want to hear from you.
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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
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 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
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




