Developer Relations Manager – AI for Science

Job Description:

• Act as a trusted technical advisor for research labs, engaging and partnering with ecosystem leaders
• Identify and accelerate 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 by 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 researchers' needs internally by translating academic feedback into actionable insights for 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 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
• Broad intellectual foundation to translate AI breakthroughs across 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, and 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
• 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

Benefits:

• Competitive salaries
• Generous benefits package
• Equity