Solution Architect, Generative AI

NVIDIA
Tokyo
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 5+ yearsEducation: bachelorsSkills: ["Communication","Presentation","Problem-solving","Collaboration","Customer focus"]

Solution Architect role in Japan focusing on pre-sales and technical support for enterprise customers, promoting NVIDIA GPU-accelerated GenAI solutions, delivering architecture designs, demos, and PoCs, and collaborating with sales to drive design wins in a fast-evolving AI environment.

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FursaFursa
NVIDIA
NVIDIA
2 months ago

Solution Architect, Generative AI

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Solution Architect role in Japan focusing on pre-sales and technical support for enterprise customers, promoting NVIDIA GPU-accelerated GenAI solutions, delivering architecture designs, demos, and PoCs, and collaborating with sales to drive design wins in a fast-evolving AI environment.
Location: Tokyo
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

  • •Develop and demonstrate solutions based on NVIDIA’s GenAI software/hardware with a focus on inference, advising customers on agent-based system design and optimal models and infrastructure.
  • •Work directly with key customers to understand their challenges and provide the best solutions based on NVIDIA products.
  • •Drive sustainability by performing in-depth analysis and optimization to ensure the best performance and cost-effectiveness using the NVIDIA software platform, including transitioning pipelines to lower precision compute.
  • •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, explanation of complex topics, and Python coding to execute data pipelines, train ML/DL models, and deploy them on container-based orchestrators

Key Requirements

  • •5+ years of industry or academic experience related to Generative AI or Deep Learning.
  • •Strong coding development and debugging skills with Python, C/C++, Bash, and Linux.
  • •Demonstrated experience with cluster orchestration tools including Docker, Kubernetes, or SLURM across cloud providers and on premises.
  • •Excellent verbal, written communication in Japanese and business-level English.
  • •BS or MS in Computer Science, Engineering, Mathematics, or Physics (or equivalent experience).
Experience:5+ yearsGenerative AIAIDeep learningGPUEnterprise software
Education:Bachelor's
Skills:CommunicationPresentationProblem-solvingCollaborationCustomer focus
Languages:JapaneseEnglish
Tech Stack:PythonC++CBashLinuxDockerKubernetes

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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