Developer Relations Manager – AI for Science

This is a fully remote position, open to applicants in California.

📋 Description

• Serve as a reliable technical consultant for research laboratories, collaborating and engaging with leaders in the ecosystem.

• Recognize and expedite high-impact workloads by incorporating NVIDIA's frameworks, libraries, and core software stack into research initiatives.

• Analyze and continually evaluate the research ecosystem to pinpoint institutional growth opportunities and guide long-term technology strategies.

• Remain updated on research publications within related fields to predict emerging trends and offer technical guidance on potential areas for collaboration.

• Work collaboratively across teams with Research Account Managers, Solution Architects, and Business Development units to facilitate researcher empowerment.

• Build stronger relationships with laboratory personnel by understanding opportunities, challenges, interpersonal dynamics, and the complete scope of ongoing research.

• Participate in domain-specific scientific conferences and enable NVIDIA’s involvement alongside other subject matter experts.

• Propel success stories into broader adoption.

• Advocate for researchers' requirements internally by converting academic feedback into actionable insights for product development, educational initiatives, and platform roadmaps.

⛳️ Requirements

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

• More than 4 years of experience in research or industry, with a proven track record of driving innovation at the intersection of AI and Science.

• Extensive expertise in applying AI, including Generative AI and Physical AI, to a specific scientific area.

• A broad intellectual background to translate AI advancements across Biology, Physics, material science, and intricate scientific workflows.

• Strong understanding of cutting-edge research challenges in AI and computational science.

• Practical experience in building or assessing AI systems utilizing modern frameworks, model APIs, orchestration tools, retrieval systems, and sandbox environments for research-grade implementation.

• Established research credibility demonstrated by impactful publications, contributions to open-source scientific software, or successful partnerships with academic laboratories.

• Familiarity 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.

• Developed relationships with prominent academic labs, research institutions, national laboratories, or major open-source research communities.

• A history of translating advanced research into demonstrations, reference architectures, workshops, technical content, or developer enablement initiatives.

• Experience speaking at academic conferences, research workshops, technical summits, or university-focused events.

• Skill in identifying emerging research trends and transforming them into strategic opportunities for collaboration, platform adoption, and ecosystem expansion.

🏝️ Benefits

• Competitive salaries

• Generous benefits package

• Equity