2 days ago
Tokyo, JapanStaff+
Responsibilities
- Build technical relationships with developers, founders, and engineering leaders across Japan’s AI ecosystem.
- Help developers build and improve agentic applications involving tool use, orchestration, retrieval, memory, evaluation, and reliable execution.
- Support adoption of 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.
- Collaborate with engineering, product, solutions architecture, and account teams to resolve technical barriers and translate feedback into product improvements.
- Help teams assess model quality, latency, throughput, cost, and operational tradeoffs.
- Extend successful approaches into the financial sector while addressing privacy, security, governance, and operational requirements.
- Measure developer adoption, successful integrations, repeat engagement, and resolved technical issues.
Requirements
- 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, including performance and deployment tradeoffs.
- Experience with Git, Linux, containers, and collaborative software development.
- Evidence of helping developers succeed through technical guidance, documentation, workshops, open-source collaboration, or direct engineering support.
- Strong Japanese and English communication skills for working with developers in Japan and global product and engineering teams.
- Ability to prioritize independently across a developing ecosystem and collaborate across teams.
- Experience building agent harnesses, coding agents, multi-agent systems, or developer tools.
- Preferred experience with agent sandboxing, permissions, credential handling, observability, secure execution, NVIDIA AI software, open-model customization, fine-tuning, or inference optimization.
- Preferred open-source contributions, reusable technical resources, developer community building, Japanese AI ecosystem experience, or AI deployment in financial services or another regulated industry.
Categories
AI ApplicationsSolutions Engineering
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.