Developer Relations Manager, Higher Education and Research – AI for Science
$152k - $288k • Remote • US, CA, Santa Clara
Posted 7d ago
Job Location
US, CA, Santa Clara
Tech Stack
Remote Work Policy
Fully remote
Categories
AI Engineer
About the job
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 a proven track record to translate advanced technologies into valuable, insight-focused outcomes.
Responsibilities
- Act as a trusted technical advisor for research labs, engaging and partnering with ecosystem leaders to accelerate high-impact workloads by integrating NVIDIA's software stack.
- Map and assess the research ecosystem to identify growth opportunities and inform technology strategies.
- Stay current on research papers to anticipate emerging trends and provide technical direction for future collaborations.
- Collaborate cross-functionally with account managers, solution architects, and business development teams to drive researcher enablement.
- Forge closer ties with lab personnel to understand opportunities, challenges, and research being conducted.
- Attend scientific conferences and facilitate NVIDIA participation, driving success stories into adoption.
- Represent researcher needs internally by translating academic feedback into actionable insights for product development, education programs, and roadmaps.
Requirements
- PhD in Computer Science, AI, Machine Learning, Computational Science, or related technical field; or equivalent experience.
- Over 4+ years of experience in research or industry, with a proven record of advancing innovation at the intersection of AI and Science.
- Deep expertise in applying AI, including Generative AI and Physical AI, to a specific scientific domain.
- Broad intellectual foundation to translate AI breakthroughs across various scientific fields.
- 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.
- Established research credibility evidenced by high-impact publications, open-source contributions, or successful academic collaborations.
Benefits
- Competitive salaries
- Generous benefits package
- Equity
- Base salary range: $152,000 - $241,500 for Level 3
- Base salary range: $184,000 - $287,500 for Level 4