Solution Architect - Cloud Software Stack at NVIDIA

Tokyo, Japan

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AIIndustries

Requirements

BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience
5+ years of working experience in DevOps roles in the areas of Cloud Computing, Cluster Orchestration or AI Workloads
In depth knowledge with orchestration platforms like Kubernetes, SLURM or OpenShift
Strong written and oral communication skills with the ability to optimally collaborate with customers, management and engineering
Strong time-management and organization skills for coordinating multiple initiatives, priorities and implementations of new technology and products into very complex projects
Good verbal communication and presentation skills in Japanese and English

Responsibilities

Build and deploy AI/ML solutions at scale using NVIDIA's AI software on cloud-based GPU platforms
Using your skills in AI, MLOps, ML engineering, DevOps, Kubernetes, and orchestration to deploy hybrid solutions
Deliver customer on-boarding sessions and technical and architecture presentations with NVIDIA AI, Cloud technologies and solutions
Run and own Proof of Concepts (PoCs), introducing NVIDIA Cloud Solutions and integrating them to new and existing accounts
Work with NVIDIA’s product and architecture teams by providing customer requirements, feedback and prioritization

Skills

MLOps

DevOps

Kubernetes

SLURM

OpenShift

Cloud Computing

GPU

Orchestration

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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