Solutions Architect, AI for Science and HPC at NVIDIA

Tokyo, Japan

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, HPC, Science, ResearchIndustries

Requirements

BS, MS or PhD in Computer Science, Engineering, Mathematics, or Physics
Excellent verbal, written communication, and technical presentation skills in Japanese. Business level English communication is also a requirement
5+ years of industry or academic experience related to Generative AI or Deep Learning
Strong coding development and debugging skills, including experience with Python, C/C++, Bash, and Linux
Ability to multitask effectively in a dynamic environment, strong analytical and problem-solving skills
Proactive and have a strong desire to share knowledge with clients, partners and co-workers

Responsibilities

Exploring the latest advancements in GenAI (model training, fine tuning and customization), while supporting building AI for Scientific use cases
Lead research collaboration working closely with internal technical stakeholders, from Headquarters to Worldwide
Enabling NVIDIA strategic customers to build AI solutions using accelerated computing stack including NIMs and NeMo microservices
Collaborate with developers and onboard them to NVIDIA AI platforms and services by providing deep technical guidance
Drive conversations, build architectures and demos to accelerate the customer AI journey based on NVIDIA products, and work closely with our business development and marketing teams
Create or run Proofs of Concept and demos that require presentation skills, the explanation of complex topics, and Python coding to execute data pipelines, train ML/DL models, and deploy them on container-based orchestrators

Skills

Key technologies and capabilities for this role

Generative AIDeep LearningPythonC/C++BashLinuxMachine LearningNIMsNeMoGPUContainers

Questions & Answers

Common questions about this position

What education and experience are required for this Solutions Architect role?

A BS, MS or PhD in Computer Science, Engineering, Mathematics, or Physics is required, along with 5+ years of industry or academic experience related to Generative AI or Deep Learning.

What technical skills are needed for this position?

Strong coding development and debugging skills are required, including experience with Python, C/C++, Bash, and Linux.

What language skills are necessary for this role?

Excellent verbal, written communication, and technical presentation skills in Japanese are required, along with business level English communication.

What is the company culture like at NVIDIA?

NVIDIA is widely considered one of the technological world’s most desirable employers with some of the most brilliant and talented people, committed to fostering a diverse workforce, and seeks creative and autonomous individuals.

What makes a candidate stand out for this Solutions Architect position?

Candidates stand out with significant technical proficiency in high-performance computing, AI/ML and/or fields like material discovery, climate, or bio science; experience leading technical collaborations; expertise in deploying large-scale training pipelines; and deep understanding of generative AI methods.

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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