採用
Benefits & Perks
•Healthcare
•401(k)
•Equity
•Healthcare
•401k
•Equity
Required Skills
Linux
Scripting
OS Kernels
System engineering
Cloud architecture
Datacenter design
About the Role
NVIDIA is looking for a Solutions Architect to work in IPP's (Infrastructure, Planning and Process) Cloud Infrastructure Team. IPP is a global organization within NVIDIA. This group works with various other groups within NVIDIA such as Graphics Processors, Mobile Processors, Deep Learning, Artificial Intelligence and Driverless Cars to cater to their infrastructure needs. These cloud services provide almost half a million automated jobs per day on thousands of servers helping with the productivity of thousands of NVIDIA's software engineers worldwide. The cloud hosts a heterogeneous mix of machines and devices with various operating systems (Windows/Linux/Android), a multitude of hardware platforms both NVIDIA GPUs and Tegra Processors.
Are you passionate about distributed infrastructure and looking for sophisticated, critical issues, ready to build the next generation of cloud services, design creative solutions, mine through data to uncover real problems and fix them?
Responsibilities
- Work with NVIDIA Product Teams to understand new product roadmaps and requirements primarily Rack Scale AI Products
- Find optimum solutions to deploy these products in a Datacenter or a Lab environment using sophisticated design techniques, services and tools
- Assist in roll-out and deployment of new development features aimed at supporting the latest NVIDIA hardware and technologies
- Work closely with world-class engineers, architects, technical product managers and application developers setting the best strategies in place for a product launch
- Define and implement full scale solutions for product onboarding into hosted and private cloud environments
- Solve sophisticated problems involving multi-site deployments of NVIDIA products and directly contribute to the overall quality of deployments and improve time to market next gen products
- Collaborate with multi-functional teams, including system engineering, software engineering, mechanical/thermal engineering, operations, data center teams, external vendors, and other partners to successfully deliver a reliable and robust platform from concept to prototype to deployments
- Integrate and optimize cluster deployment methods and manage SW stack deployments, including provisioning these services into the cloud
Qualifications
- Bachelor's or Master's Degree in Computer Science or Software Engineering, or equivalent experience
- 12+ years of relevant experience
- 6+ years of Linux and Scripting experience
- Solid background on OS Kernels and system engineering
- A track record of quickly understanding new technologies outside of your domain expertise and deploying systems in sophisticated configurations from hardware through multiple layers of software in a fast-paced environment
- Strong technical skills and understanding of embedded systems, orchestration & automation systems, data centers and cloud architecture
- Excellent communication and planning skills
- Strong problem-solving ability and experience in product engineering/failure analysis and debug/HW or test design
- Understanding of dense datacenter design including compute, storage and networking
Ways to Stand Out
- Understanding of software engineering principles and enterprise system architecture
- Experience with GPU and compute clusters administration & automation
- Experience in large scale QA environments for product bring ups
- Special skills in large-scale computing and cluster computing (MPI)
- Data center design experience including high speed interconnect Infini Band, cluster storage and scheduling related design and/or management experience
About NVIDIA
NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens new universes to explore, enables outstanding creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence. 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 passionate about new technologies we want you on our team!
Compensation
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 208,000 USD - 333,500 USD for Level 5, and 256,000 USD - 414,000 USD for Level 6. You will also be eligible for equity and benefits.
Application Details
Applications for this job will be accepted at least until February 1, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.
Equal Opportunity
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.
Total Views
0
Apply Clicks
0
Mock Applicants
0
Scraps
0
Similar Jobs

Enterprise Architect
PayPal · San Jose, California, United States of America

PEGA Architecture Vice president
Citigroup · CHENNAI, Tamil Nādu, India

VP, Solutions Architecture LATAM
Salesforce · Brazil - Sao Paulo

AI/ML and Gen AI Architect
Vanguard · Charlotte, NC; Malvern, PA

Senior Solutions Architect, UKI Financial Services
Amazon · London, GBR
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