Director, Product Platform Retail and Cpg Industries

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

NVIDIA is seeking a Director to define and build the Retail & CPG Industries product platform. This role involves architecting and developing a platform leveraging NVIDIA's full stack, including Agentic AI and accelerated computing, to reshape digital commerce, supply chains, and intelligent stores. The platform will utilize NVIDIA Nemo microservices and Nemotron models, with a focus on Agentic AI for various business functions. The ideal candidate will have hands-on development experience with AI agents, LLMs, RAG, and distributed systems, and will collaborate with engineering teams to deliver a production-ready, scalable platform.

What you'd actually do

  1. Develop platform strategy across supply chain, stores, and e-commerce
  2. Architect and build systems hands-on, using existing blueprints [Retail and Agentic Commerce](https://build.nvidia.com/search?q=Retail), and [supply chain blueprints](https://build.nvidia.com/nvidia/multi-agent-intelligent-warehouse), as well as other key components of NVIDIA Retail used for hyper-personalization, new formulation discovery with NVIDIA ALCHEMI and CuOpt supply chain optimization solvers.
  3. Build a reusable reference architectures for industry adoption. Define the product, technical vision, and architecture for the Retail & CPG platform using NVIDIA’s existing blueprints and workflows.
  4. Use NVIDIA technologies like NeMo, NIM, RAPIDS, and cuOpt to write the code and create the platform with help from solution engineers on the team, with resources secured from engineering.
  5. Deliver a production-ready platform together with NVIDIA engineering, focusing on latency, throughput, and cost efficiency.

Skills

Required

  • technical architecture expert
  • hands-on development experience
  • familiarity with NVIDIA's GPU acceleration libraries
  • knowledge of enterprise AI architectures
  • developer experience building AI agents
  • LLMs
  • RAG
  • agent-based systems
  • data pipelines
  • embeddings
  • systems architecture
  • distributed systems
  • APIs
  • microservices
  • real-time or near-real-time systems
  • lean, high-velocity environments
  • collaborating with engineering

Nice to have

  • Retail
  • CPG
  • logistics
  • marketplaces
  • GPU acceleration libraries(CUDA, Triton, TensorRT)
  • MBA or Masters degree

What the JD emphasized

  • developer experience building AI agents is a must
  • Developer expertise in AI systems, including experience with LLMs, RAG, and agent-based systems.
  • Strong understanding of data pipelines, embeddings, and systems architecture.
  • Experience with distributed systems, APIs, and microservices.
  • Ability to build real-time or near-real-time systems and complete work in small teams.

Other signals

  • Agentic AI
  • NVIDIA Nemo microservices
  • Nemotron open-source models
  • build the platform
  • developer experience building AI agents