Developer Relations Manager – Higher Education and Research, AI for Science

🔥 1 minute ago

🏄 California – Remote

🏄 California – Remote

💵 $152k - $287.5k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤝 Developer Relations (DevRel)

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• 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. • 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 interpersonal dynamics and the full scope of research being conducted. • Attend domain scientific conferences and facilitate NVIDIA participation alongside other subject matter experts. • 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 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 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, 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/national 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, Triton Inference Server, 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

• Equity • Benefits • Equal opportunity employer • Inclusive work environment