refresh

トレンド企業

Trending

採用

JobsNVIDIA

Solutions Architect - Rack Scale AI Systems

NVIDIA

Solutions Architect - Rack Scale AI Systems

NVIDIA

3 Locations

·

On-site

·

Full-time

·

2w ago

Compensation

$208,000 - $414,000

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

About NVIDIA

NVIDIA

NVIDIA

Public

A 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