Solution Architect - Agentic AI at NVIDIA

Tokyo, Japan

NVIDIA Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, TechnologyIndustries

Requirements

  • Excellent verbal, written communication, and technical presentation skills in Japanese. Business level English communication is also a requirement
  • BS or MS in Computer Science, Engineering, Mathematics, or Physics (or equivalent experience)
  • 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 advancement in model training, fine tuning and customization, while supporting building agentic LLM applications
  • Enabling NVIDIA strategic customers to build enterprise 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
  • Establishing and building repeatable reference architecture, communicate standard processes and understand solution trade-offs. Share findings and feedback to improve products and services
  • Drive pre-sales conversations, build architectures and demos to accelerate the customer AI journey based on NVIDIA products, and work closely with Sales Account Managers to secure design wins
  • 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

Python
Machine Learning
Deep Learning
Generative AI
LLM
Model Training
Fine-tuning
NVIDIA NIM
NeMo
GPU Computing
Container 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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