NVIDIADeveloper Relations Manager, Higher Education and Research – AI for Science
NVIDIA is hiring a Developer Relations Manager, Higher Education and Research – AI for Science in Santa Clara, United States. It pays $152k-$242k a year and Level rates it ; you can apply on NVIDIA.
Level's read on this job
- Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include Nvidia Frameworks, Model APIs and generative AI.
- Level classifies it as a senior role.
- Level lists 2,700+ other open roles at NVIDIA.
- The role was posted within the past two weeks.
AI in this role
Developer relations manager engaging university researchers to accelerate adoption of NVIDIA AI and computing platforms for science.
We are seeking a dynamic, mission-driven Developer Relations Manager to engage leading university-affiliated researchers and labs. In this role, you will work directly with researchers to accelerate the adoption of NVIDIA’s sophisticated AI and computing platforms.
The ideal candidate combines deep technical expertise with strong experience in research engagement and proven track record to translate advanced technologies into valuable, insight-focused outcomes.
What you'll be doing:
- Act as a trusted technical advisor for research labs, engaging and partnering with ecosystem leaders, identifying and accelerating high-impact workloads by integrating NVIDIA's frameworks, libraries, and core software stack into research projects.
- Map and continuously assess the research ecosystem to identify institutional growth opportunities and inform long-term technology strategies.
- Stay current on research papers across affiliated domains to anticipate emerging trends and provide technical direction on future collaboration areas.
- Collaborate cross-functionally with Research Account Managers, Solution Architects, and Business Development teams to drive researcher enablement
- Forge closer ties with lab personnel, understanding opportunities, challenges, interpersonal dynamics and the full scope of research being conducted.
- Attend domain scientific conferences and facilitate NVIDIA participation alongside other subject matter experts. Drive success stories into adoption
- 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 4+ 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 Biology, Physics, material science 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 laboratories.
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, BioNeMo, cuQuantum, Omniverse, Isaac, RAPIDS, TensorRT-LLM, Dynamo, or DGX/accelerated computing systems.
- Established relationships with leading 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 presenting 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.
With competitive salaries and a generous benefits package, we are widely considered to be one of the world's most desirable employers! We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous person with a real passion for technology, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until October 16, 2026.This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.How we rate this
Developer Relations Manager, Higher Education and Research – AI for Science at NVIDIA rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where generative ai was part of your work. What did you do?
- Tell me about a project where physical ai was part of your work. What did you do?
- Tell me about a project where computational science was part of your work. What did you do?
- Tell me about a project where research engagement was part of your work. What did you do?
- Walk me through how you've used Nvidia Frameworks in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Generative AI, Physical AI, Computational Science, Research Engagement, and Nvidia Frameworks. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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