NVIDIA

Senior Solutions Architect, Cloud Infrastructure and DevOps - NVIS

Japan

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Information Technology, Artificial Intelligence, High Performance ComputingIndustries

Position Overview

  • Location Type: Remote
  • Employment Type: Full Time
  • Salary: Not specified

NVIDIA is the world leader in computer graphics, artificial intelligence, and accelerated computing. They are seeking a Senior Cloud Infrastructure/DevOps Solutions Architect to join their NVIDIA Infrastructure Specialist Team. This role involves working with customers, partners, and internal teams to analyze, define, and implement large-scale networking projects, acting as the primary technical resource and face to the customer. The team builds many of the largest and fastest AI/HPC systems in the world.

Requirements

  • Education: BS/MS/PhD or equivalent experience in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related fields.
  • Experience: At least 8 years of professional experience in networking fundamentals, TCP/IP stack, and data center architecture.
  • Networking Knowledge: Extensive knowledge and hands-on experience with networking fundamentals, TCP/IP stack, and data center architecture.
  • Kubernetes Expertise: Extensive knowledge and hands-on experience with Kubernetes, including container orchestration for AI/ML workloads, resource scheduling, scaling, and integration with HPC environments.
  • HPC/AI Knowledge: Knowledge of HPC and AI solution technologies, including CPUs, GPUs, high-speed interconnects, and supporting software.
  • Operating System Proficiency: Excellent knowledge of Windows and Linux systems (Redhat/CentOS and Ubuntu), including internals, ACLs, OS-level security protections, and common protocols like TCP, DHCP, DNS, etc.
  • Storage Experience: Familiarity with multiple storage solutions, including Lustre, GPFS, ZFS, and XFS.

Responsibilities

  • Maintain large-scale HPC/AI clusters with monitoring, logging, and alerting.
  • Manage Linux job/workload schedulers and orchestration tools.
  • Develop and maintain continuous integration and delivery pipelines.
  • Develop tooling to automate deployment and management of large-scale infrastructure environments, to automate operational monitoring and alerting, and to enable self-service consumption of resources.
  • Deploy monitoring solutions for the servers, network, and storage.
  • Perform troubleshooting bottom up from bare metal, operating system, software stack, and application level.
  • Support Research & Development activities and engage in POCs/POVs for future improvements.
  • Act as a technical resource, develop, re-define, and document standard methodologies to share with internal teams.
  • Support customer, partner, and internal team interactions related to networking projects.

Application Instructions

  • Not specified in the provided text.

Company Information

  • Company: NVIDIA
  • Industry: Computer Graphics, Artificial Intelligence, Accelerated Computing
  • Description: NVIDIA is a world leader in computer graphics, artificial intelligence, and accelerated computing. They have been at the forefront of research and engineering around the greatest advances in technology.

Skills

Networking fundamentals
TCP/IP stack
Data center architecture
Kubernetes
Container orchestration
AI/ML workloads
Resource scheduling
Scaling
HPC environments
CPUs
GPUs
High-speed interconnects
Linux
Windows
Redhat
CentOS
Ubuntu
ACLs
OS security
TCP
DHCP
DNS
Lustre
GPFS
ZFS
XFS

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters
1993Year Founded
$19.5MTotal Funding
IPOCompany Stage
Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries
10,001+Employees

Benefits

Company Equity
401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.
Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.
Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.
The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.
NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.
Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.
Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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