Leads technical collaborations and research on hybrid quantum-classical applications for AI, high-performance computing, simulations, and digital twins.
About this role
Solution Architect (Generative AI) at NVIDIA, based in Tokyo, working with enterprise companies and partners in Japan to promote adoption of and provide technical support for NVIDIA's portfolio of GPU-accelerated computing solutions, including machine learning, deep learning and especially generative AI.
The role focuses on pre-sales and technical support around model training and deployment, as sovereign AI and agent-based systems advance rapidly in Japan. Work includes developing and demonstrating solutions based on NVIDIA's GenAI software and hardware with a focus on inference, and advising customers on agent-based system design, optimal models and infrastructure. The posting is in English at NVIDIA, a large foreign-owned company.
This is an AI-generated summary of the employer's original posting — details can be incomplete, out of date or simply wrong. Always confirm everything on the official posting before applying.
Similar jobs
Role titled Physical AI and Simulation Solution Architect, based in Tokyo, Japan.
Integrate GPU-accelerated tools and AI into Japanese manufacturing workflows, advise customers and researchers, support compute infrastructure, and share technical knowledge.
Applied GenAI engineering role for Amazon Logistics requiring AWS data services and big-data technologies, including Redshift, S3, Glue, EMR, Kinesis, Hadoop, Hive, and Spark.
Design secure Azure AI and cloud solutions, leading architecture engagements, proofs of concept, pilots, and production adoption for customer applications and agents.
Lead software development from requirements through release and maintenance, improve architecture and development processes, and support team growth across GO's mobility products. The role may involve hands-on implementation, people management, and generative AI adoption.