Developer Relations Manager, Agentic AI

This role helps developers build generative AI and agentic systems with NVIDIA technologies, serving AI-native companies, model builders, startups, and enterprise engineering teams. Its focus includes agents, agent harnesses, and the models and infrastructure behind them. Work includes improving tool use, orchestration, retrieval, memory, evaluation, and reliable execution; applying Nemotron, NeMo, CUDA-X libraries, and OpenShell; and creating runnable demos, sample applications, guides, tutorials, and hands-on labs. The manager also delivers technical workshops, resolves barriers with internal teams, and assesses model quality, latency, throughput, cost, and operational tradeoffs. Candidates need a relevant degree or equivalent experience, typically 6+ years in software engineering, applied AI/ML, developer relations, solutions architecture, or developer platforms, strong Python, and hands-on experience building, debugging, and deploying LLM applications or agentic workflows. They also need practical knowledge of tool calling, APIs, retrieval, orchestration, evaluation, and agent failure modes; familiarity with open models, model serving, GPU-accelerated AI, Git, Linux, and containers; and evidence of helping developers through guidance, documentation, workshops, open-source work, or engineering support.