Description
NVIDIA is seeking a Developer Relations Manager to help developers in Japan build, optimize, and deploy generative AI and agentic systems using NVIDIA technologies.
The ideal candidate will work directly with AI-native companies, model builders, startups, and enterprise engineering teams, focusing on AI agents, agent harnesses, and the models and infrastructure that power them.
Responsibilities:
- Build technical relationships with developers, founders, and engineering leaders across Japan's AI ecosystem
- 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
- Create and maintain runnable demos, sample applications, integration guides, tutorials, and hands-on labs
- 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
Requirements:
- 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
- Practical understanding of tool calling, APIs, retrieval, orchestration, evaluation, and common agent failure modes
- Familiarity with open models, model serving, and GPU-accelerated AI
- 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
Nice to Have:
- 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