エヌビディア合同会社のDeveloper Relations Manager - Higher Education & Research求人

What you'll be doing
Develop strategic partnerships with leading research labs and principal researchers whose work aligns with our technology roadmap.
Act as a trusted technical advisor for research labs, identifying and accelerating high-impact workloads by integrating NVIDIA's frameworks, libraries, and core software stack into research projects.
Stay current on research papers across affiliated domains to anticipate emerging trends and provide technical direction on future collaboration areas.
Collaborate cross-functionally with Account Managers, Solution Architects, and Business Development teams to drive researcher enablement.
Forge closer ties with lab personnel, understanding organizational dynamics and the full scope of research being conducted.
Attend domain scientific conferences and facilitate NVIDIA participation alongside other subject matter experts.
Empower leading researchers to accelerate their breakthroughs using NVIDIA technology, while amplifying their impact through academic publications, conference presentations, and high-quality technical blog posts.
Represent the needs of researchers internally by translating academic feedback into actionable insights that build product development, education programs, and platform roadmaps.

What we need to see
PhD in Computer Science, AI, Machine Learning, Computational Science or a related technical field; or equivalent experience demonstrating comparable research depth.
Over 6 years of experience in research or industry, with a proven record of advancing innovation at the crossroads of AI and Science.
Deep expertise in applying AI, including Generative AI and Physical AI, to a specific scientific domain is required.
A broad intellectual foundation is also necessary to translate AI breakthroughs across fields such as Materials Science, Physics, and complex scientific workflows.
Strong understanding of frontier research challenges in AI and computational science.
Hands-on experience building or evaluating AI systems using modern frameworks, model APIs, orchestration tools, retrieval systems, sandboxed execution for research-grade deployment.
Established research credibility evidenced by high-impact publications, contributions to open-source scientific software, or successful collaborations with academic/national laboratories.
Native-level Japanese proficiency and advanced English proficiency—specifically the ability to lead web conferences beyond just email correspondence—are strictly required.

Ways to stand out from the crowd
Experience with NVIDIA technologies and platforms such as CUDA, CUDA-X libraries, NVIDIA AI Enterprise, NIM, NeMo/Nemotron, NeMo Agent Toolkit, Omniverse, Isaac, RAPIDS, TensorRT, Triton Inference Server, ALCKEMI, Physics Nemo or accelerated computing systems.
Maintained connections with prominent academic labs, research institutes, national labs, or major open source research communities.
Track record translating frontier research into demos, reference architectures, workshops, technical content, or developer enablement programs.
Experience speaking publicly at academic conferences, research workshops, technical summits, or university facing events.
Ability to identify emerging research trends and convert them into strategic opportunities for collaboration, platform adoption, and ecosystem growth.