Senior Retail Developer Relations Manager, Digital Commerce

NVIDIA NVIDIA · Semiconductors · Santa Clara, CA +1 · Remote

Senior Developer Relations Manager for NVIDIA's Retail team, focusing on digital commerce. The role involves engaging with AI-native startups and software partners to help them build, optimize, and scale agentic AI solutions on NVIDIA platforms, including Nemotron models and Nemo Microservices. Responsibilities include acting as a technical point of contact, building sample applications, gathering developer feedback to influence product roadmap, and supporting startup integration and go-to-market strategies.

What you'd actually do

  1. Act as the technical point of contact for startups and developers building agentic, multi-modal applications—or adding AI agents to existing platforms.
  2. Engage with developers to use NVIDIA’s Agentic AI stack—including Nemo Microservices, Nemo Agent Toolkit, Dynamo, Nemotron models, and CUDA-accelerated pipelines—to improve performance and scalability.
  3. Build and deliver sample applications, tutorials, and technical content that showcase protocols for LLMs and agentic workflows.
  4. Represent the voice of the developer by gathering feedback and influencing NVIDIA’s product roadmap and developer experience.
  5. Support startups through integration and certification within NVIDIA partner programs.

Skills

Required

  • BS or MS in Computer Science, Engineering, or equivalent experience.
  • 12+ years in Developer Relations, AI engineering, startup technical roles, or technical alliances.
  • Hands-on experience building agent-based systems using frontier and open-source models (e.g., OpenAI, Mistral, Llama, Hugging Face, LangChain, RAG pipelines).
  • Strong proficiency in Python, Docker, Kubernetes, and Linux-based environments.
  • Excellent communication skills, with the ability to engage both technical and business audiences.

Nice to have

  • Experience with model fine-tuning, prompt engineering, memory architectures, and agent orchestration frameworks.
  • Proven ability to build and scale developer communities and drive adoption through technical programs.
  • Familiarity with NVIDIA technologies (NeMo, Nemotron, CUDA) and GPU-accelerated AI development.

What the JD emphasized

  • Hands-on experience building agent-based systems
  • agentic AI solutions
  • agentic, multi-modal applications
  • AI agents
  • agentic AI stack
  • agentic workflows
  • Agentic AI strategy

Other signals

  • Engage with developers to use NVIDIA’s Agentic AI stack
  • Hands-on experience building agent-based systems
  • improve performance and reduce inference cost