# Developer Relations Manager, Higher Education and Research - AI Agents

**Company**: NVIDIA
**Location**: Santa Clara
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Developer-Relations-Manager--Higher-Education-and-Research---AI-Agents_JR2017736?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_e3d16b4a-c5d

## Description

We are seeking a dynamic, mission-driven Developer Relations Manager to engage leading research labs. In this role, you will work directly with research labs 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 proven track record to translate advanced technologies into impactful, research-driven outcomes.

**Responsibilities:** 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.

**Preferred Qualifications:** Experience with NVIDIA technologies and platforms such as CUDA, CUDA-X libraries, NVIDIA AI Enterprise, NIM, NeMo/Nemotron, NeMo Agent Toolkit, 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.

## Skills

### Required
- agentic AI systems
- LLM agents
- tool use
- planning
- reasoning
- memory
- retrieval
- code execution
- workflow automation
- multi-agent systems
- frontier research challenges
- long-horizon task completion
- evaluation
- reliability
- safety
- observability
- alignment
- failure recovery
- modern AI frameworks
- model APIs
- orchestration tools
- retrieval systems
- sandboxed execution
- research-grade deployment patterns
- autonomous systems
- tool learning
- multimodal agents
- embodied agents
- scientific agents
- collaborative human-AI workflows
- publications
- prototypes
- open-source work
- academic collaborations
- technical leadership
- foundation models
- applied AI research

### Nice to have
- CUDA
- CUDA-X libraries
- NVIDIA AI Enterprise
- NIM
- NeMo/Nemotron
- NeMo Agent Toolkit
- Omniverse
- Isaac
- RAPIDS
- TensorRT
- Triton Inference Server
- DGX/accelerated computing systems
- established relationships with leading academic labs
- research institutes
- national labs
- major open source research communities
- track record translating frontier research
- demos
- reference architectures
- workshops
- technical content
- developer enablement programs
- presenting at academic conferences
- research workshops
- technical summits
- university facing events
- identifying emerging research trends

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Developer-Relations-Manager--Higher-Education-and-Research---AI-Agents_JR2017736?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)