N

NVIDIA

Designs the chips and software that power AI

Developer Relations Manager - Higher Education & Research

Developer Relations & AdvocacyConfirmed live in the last 24 hours
Full-timeTokyo, JapanNo salary listedIn-person

About the Job

Requirements

  • A 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 record of advancing innovation at the intersection of AI and science.
  • Deep expertise applying AI, including Generative AI and Physical AI, to a specific scientific domain, with the ability 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, and sandboxed execution for research-grade deployment.
  • Established research credibility demonstrated through high-impact publications, contributions to open-source scientific software, or successful collaborations with academic or national laboratories.
  • Native-level Japanese proficiency and advanced English proficiency, including the ability to lead web conferences.

Responsibilities

  • Develop strategic partnerships with leading research labs and principal researchers whose work aligns with NVIDIA’s technology roadmap.
  • Advise research labs technically, identify and accelerate high-impact workloads, and integrate NVIDIA 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 with Account Managers, Solution Architects, and Business Development teams to drive researcher enablement.
  • Build closer ties with lab personnel by understanding organizational dynamics and the full scope of research being conducted.
  • Attend domain scientific conferences and facilitate NVIDIA participation alongside other subject matter experts.
  • Enable leading researchers to accelerate breakthroughs using NVIDIA technology and amplify their impact through academic publications, conference presentations, and technical blog posts.
  • Represent researchers’ needs internally by translating academic feedback into actionable insights for product development, education programs, and platform roadmaps.

Desired Qualifications

  • 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.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

Recently Posted Jobs

Explore more opportunities at NVIDIA

See more jobs