Nvidia Senior Developer Relations Manager – Retail Industry 

China, Beijing, Beijing 

303162721

You will work directly with founders, engineering leaders, and developer communities buildingThis role is ideal for someone who enjoyshands-on technical engagement, ecosystem building, and communicating complex technology in a clear and compelling way.

You will be a, shaping solution strategy, enabling partners, and helping drive the next generation of AI-powered retail innovation.

• Serve as the trusted technical advisor, and champion for the developer ecosystem in Retail Industry, with multi-functional partners to drive adoption of NVIDIA technologies.

• Help developers leverage NVIDIA’s tools for GenAI and LLMs- including Triton Inference Server, TensorRT-LLM, NeMo Framework, and CUDA-accelerated pipelines —to optimize model performance and scalability.

• Build and deliver sample applications, tutorials, and technical content that highlight best practices for building with LLMs and agentic workflows.

• Partner with solution architects to benchmark improvements and support performance tuning of LLM deployments across NVIDIA platforms.

• Guide startups through integration with NVIDIA’s Gen AI stack and support their certification in NVIDIA partner programs.

• Represent the company at industry events, developer meetups, andhackathons—evangelizingour LLM and Agentic AI strategy to a technical audience.

• Gather developer feedback to inform product and roadmap decisions related to LLM inference, training, and deployment tooling.

• Identify promising Gen AI startups and help them go to market through co-branded solution development and strategic partnerships

• BS or Masters in Computer Science, Engineering, or equivalent practical experience.

• 8+ years in Developer Relations, AI engineering, startup GTM roles, or Technical Alliances.

• Deep hands-on experience with LLMs (e.g., Qwen, Deepseek, LangChain, RAG pipelines) and autonomous agent frameworks.

• Proficiency with Python, containerization tools (Docker, Kubernetes), and Linux-based development environments.

• Understanding of model fine-tuning, prompt engineering, memory architectures, tool use in agent systems, and orchestration frameworks.

• Excellent communication and storytelling skills—comfortable presenting to technical and business audiences.

• Experience in retail AI, Machine Learning and Deep Learning applications

• Familiarity with advanced computing, AI, and/or GPU acceleration platforms (Triton Inference Server, TensorRT-LLM, NeMo Framework, and CUDA-accelerated pipelines).

• Successful history of building and scaling developer communities and delivering impactful technical enablement programs.