Developer Relations Manager - Higher Education & Research

Posted 8 Days Ago
Be an Early Applicant
Tokyo, JPN
In-Office
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The Developer Relations Manager collaborates with research labs to promote NVIDIA's AI technology, providing technical guidance and building partnerships while advancing high-impact research outcomes.
Summary Generated by Built In

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years! It’s a unique legacy of innovation that’s fueled by great technology—and amazing people.

Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Join the team and discover how you can build a lasting impact on the world.

Join NVIDIA's dynamic team as a Developer Relations Manager, Higher Education and Research, where you collaborate with leading research labs! In this role, you will partner directly with research labs to speed up the adoption of NVIDIA’s advanced AI and computing platforms.

The ideal candidate blends extensive technical knowledge with solid experience in research collaboration and a demonstrated history of transforming advanced technologies into important, research-oriented outcomes.

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.

We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability. We provide reasonable accommodations for individuals with disabilities during the application, interview, job performance, and employment benefits. Please contact us to request accommodations.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

#deeplearning

Skills Required

  • PhD in Computer Science, AI, Machine Learning, Computational Science or related field
  • Over 6 years of experience in research or industry
  • Deep expertise in applying AI to a scientific domain
  • Strong understanding of frontier research challenges in AI
  • Hands-on experience building or evaluating AI systems
  • Established research credibility with high-impact publications or collaborations
  • Native-level Japanese proficiency and advanced English proficiency

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

NVIDIA Insights

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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