Developer Relations Manager – Higher Education and Research, AI Agents

🕒 May 7

🏄 California – Remote

🏄 California – Remote

💵 $152k - $241.5k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤝 Developer Relations (DevRel)

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🤖 Artificial Intelligence

🎮 Gaming

Artificial Intelligence • Gaming • Automotive

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 organizational 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 shape product development, education programs, and platform roadmaps.

🎯 Requirements

• PhD in Computer Science, AI, Machine Learning, Computational Science, Applied Mathematics, or a related technical field; or equivalent experience demonstrating comparable research depth. • 3+ years of experience • Deep expertise in agentic AI systems, including LLM agents, tool use, planning, reasoning, memory, retrieval, code execution, workflow automation, and multi-agent systems. • Strong understanding of frontier research challenges in agents, including long-horizon task completion, evaluation, reliability, safety, observability, alignment, and failure recovery. • Hands-on experience building or evaluating agent systems using modern AI frameworks, model APIs, orchestration tools, retrieval systems, sandboxed execution, and research-grade deployment patterns. • Ability to engage leading AI labs on autonomous systems, tool learning, multimodal agents, embodied agents, scientific agents, and collaborative human-AI workflows. • Research credibility through publications, prototypes, open-source work, academic collaborations, or technical leadership in agentic AI, foundation models, autonomous systems, or applied AI research.

🏖️ Benefits

• equity • benefits