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About the Role

NVIDIA is seeking a Developer Relations Manager, Higher Education and Research to collaborate with leading research labs. This role involves partnering directly with research labs to accelerate the adoption of NVIDIA’s advanced AI and computing platforms. The ideal candidate possesses strong technical knowledge, research collaboration experience, and a history of transforming advanced technologies into research outcomes.

Responsibilities

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.

Requirements

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.

Skills

Generative AI
Physical AI
Materials Science
Physics
Complex scientific workflows
AI systems
Modern frameworks
Model APIs
Orchestration tools
Retrieval systems
Sandboxed execution
Research-grade deployment
High-impact publications
Open-source scientific software
Academic/national laboratory collaborations
CUDA
CUDA-X libraries
NVIDIA AI Enterprise
NIM
NeMo/Nemotron
NeMo Agent Toolkit
Omniverse
Isaac
RAPIDS
TensorRT
Triton Inference Server
ALCKEMI
Physics Nemo
Accelerated computing systems
Academic conferences
Research workshops
Technical summits
University facing events

Location

Remote

Work Type

Full-time

Experience Level

Over 6 years of experience in research or industry

Education Level

PhD in Computer Science, AI, Machine Learning, Computational Science or a related technical field; or equivalent experience demonstrating comparable research depth.

Benefits

Highly competitive salaries
Comprehensive benefits package

About the Company

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years.
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.
NVIDIA pioneered accelerated computing.
Today, our AI infrastructure powers global intelligence, transforming every industry.
Learn more about NVIDIA.

Equal Opportunity

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.