Developer Relations Manager, Agentic AI — Japan

Overview

• NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years.
• It’s a unique legacy of innovation that’s fueled by great technology—and amazing people.
• Today, we’re tapping into the unlimited potential of AI to define the next era of computing.
• An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world.
• Doing what’s never been done before takes vision, innovation, and the world’s best talent.
• As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work.
• Join the team and discover how you can build a lasting impact on the world.
• We are looking for a Developer Relations Manager to help developers in Japan build, optimize, and deploy generative AI and agentic systems using NVIDIA technologies.
• You will work directly with AI-native companies, model builders, startups, and enterprise engineering teams.
• Your focus will span AI agents, agent harnesses—the software that manages agent execution, tools, and state—and the models and infrastructure that power them.
• This is a hands-on technical role combining developer engagement, software development, developer education, and ecosystem strategy.
• Initial priorities will focus on AI Native and Agentic AI, with opportunities to expand into financial services as developer demand grows.
• What you’ll be doing: Build technical relationships with developers, founders, and engineering leaders across Japan’s AI ecosystem, finding opportunities for NVIDIA technologies to address their needs.
• Help developers build and improve agentic applications, including tool use, orchestration, retrieval, memory, evaluation, and reliable execution.
• Support adoption of relevant NVIDIA technologies, including Nemotron, NeMo, CUDA-X libraries, and OpenShell, matching the technology to each developer’s workload.
• Create and maintain runnable demos, sample applications, integration guides, tutorials, and hands-on labs that help developers move from experimentation to deployment.
• Deliver technical workshops, talks, office hours, and community programs in Japan.
• Work with NVIDIA engineering, product, solutions architecture, and account teams to resolve technical barriers and translate developer feedback into product improvements.
• Help teams assess model quality, latency, throughput, cost, and operational tradeoffs.
• Extend successful approaches within the financial sector, working with domain specialists on data privacy, security, governance, and operational requirements.
• Measure progress through active developer adoption, successful integrations, repeat engagement, and resolved technical issues.
• What we need to see A degree in computer science, engineering, or a related field, or equivalent practical experience.
• Typically 6+ years of relevant experience in software engineering, applied AI/ML, developer relations, solutions architecture, or developer platforms.
• Strong Python skills and experience building, debugging, and deploying LLM applications or agentic workflows beyond prompt experimentation.
• Practical understanding of tool calling, APIs, retrieval, orchestration, evaluation, and common agent failure modes.
• Familiarity with open models, model serving, and GPU-accelerated AI; the ability to reason about performance and deployment tradeoffs.
• Experience with Git, Linux, containers, and collaborative software development.
• Evidence of helping other developers succeed through technical guidance, documentation, workshops, open-source collaboration, or direct engineering support.
• Strong communication skills in Japanese and English, sufficient to work with developers in Japan and global product and engineering teams.
• The ability to prioritize independently across a developing ecosystem and collaborate across teams.
• Experience building agent harnesses, coding agents, multi-agent systems, or developer tools.
• Ways to stand out from the crowd Experience with agent sandboxing, permissions, credential handling, observability, and secure execution.
• Practical experience with NVIDIA AI software, open-model customization, fine-tuning, or inference optimization.
• Open-source contributions, reusable technical resources, or a track record of building developer communities.
• Experience working with Japanese AI-native companies, research organizations, telecom operators, or enterprise AI teams.
• Experience deploying AI in financial services or another regulated industry.