Solutions Architect, Manufacturing at NVIDIA

Tokyo, Japan

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Manufacturing, Chemical, Materials Science, SemiconductorIndustries

Requirements

Excellent verbal, written communication, and technical presentation skills in Japanese. Business level English communication
BS or MS in Computational Chemistry, Physics, Computer Science, or related field (or equivalent experience)
5+ years of industry or academic experience in the manufacturing ecosystem, applying the latest advances in AI for Chemical and Material Science
Strong fundamentals in programming, optimizations and software design, especially in Python and C++
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

Be a technical expert with vision on integrating NVIDIA GPU-accelerated tools and microservices such as ALCHEMI and CUDA-X libraries into Industrial HPC, Chemistry, Material Science, and Semiconductor Manufacturing workflows
Support the business development team in guiding the customer through the sales process for NVIDIA’s platform of GPU compute systems and acceleration software. Be responsible for the technical relationship and assist customers and partners in developing innovative products using NVIDIA technologies
Dynamically engage with developers, scientific researchers, and data scientists to understand their goals, strategies, and technical needs, and help to define and deliver high-value solutions that meet these needs. Answer questions and provide mentorship to help them build their GPU compute infrastructure and get the most out of their investment
Document what you know, and guide others. This can vary from building targeted training for partners and other Solution Architects, to writing whitepapers, blogs, and wiki articles, to working through challenging problems with a partner on a whiteboard
Keep up-to-date on the latest techniques in AI for Chemistry and Materials Science, including atomistic simulation, machine learning interatomic potentials (MLIPs), graph neural networks (GNNs) for property prediction, and structural generative AI models

Skills

Key technologies and capabilities for this role

GPU accelerationAIHPCCUDA-XALCHEMIChemistryMaterials ScienceSemiconductor Manufacturingmicroservicesbusiness development

Questions & Answers

Common questions about this position

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

A BS or MS in Computational Chemistry, Physics, Computer Science, or related field (or equivalent experience) is required, along with 5+ years of industry or academic experience in the manufacturing ecosystem applying AI for Chemical and Material Science.

What programming skills are needed for this position?

Strong fundamentals in programming, optimizations, and software design, especially in Python and C++, are required.

What language skills are required?

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

Is this a remote position or does it require working in an office?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

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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