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NVIDIA

Designs the chips and software that power AI

Developer Relations Manager - Higher Education & Research

Full-TimeUpdated on 10/15/2026
No salary listed
Senior, Expert
PhD
Tokyo, Japan
In Person
Solution EngineeringDeveloper Relations & Advocacy

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 six years of experience in research or industry, with a proven 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, along with the ability to translate AI breakthroughs across fields such as Materials Science and Physics and across complex scientific workflows.
  • A 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.
  • Serve as a trusted technical advisor to research labs by identifying and accelerating high-impact workloads through integration of 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 relationships 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.
  • Help leading researchers 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, including 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.
  • A 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 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, California

Founded

1993

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Simplify's Take

What believers are saying

  • AI demand is still surging: data center sales rose 117% to $89 billion in the quarter ending July 2026.
  • Stock grants are worth more: shares hit a record in October 2026, up 28% for the year.
  • Engineering dominates hiring: 1,722 of NVIDIA's 2,686 job listings in October 2026 were in engineering.

What critics are saying

  • Big buyers are hedging: Meta's February 2026 agreement covers 6 gigawatts of AMD chips.
  • Financing its buyers is getting harder: lenders pushed back on NVIDIA's $500 billion chip-backed loan plan in October 2026.
  • Staff described long hours: Bloomberg's August 2024 interviews reported seven-day weeks, late nights and shouting matches.

What makes NVIDIA unique

  • Rivals must match its software too: over 7.5 million developers use CUDA and other NVIDIA tools to program its chips.
  • The CEO has a broad direct staff: Jensen Huang says over 60 people report to him, without one-on-ones.
  • People rarely leave: NVIDIA's yearly staff turnover is 3.7%, versus a 21.9% average across the tech industry.

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Benefits

Company Equity

401(k) Company Match

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

-1%

2 year growth

-2%
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