AI Platform Architect — Retail & CPG (Equity Options)

NVIDIA

Santa Clara (CA)

On-site

USD 240,000 - 380,000

Full time

14 days+
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Benefits offered by this job

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Job summary

NVIDIA in Santa Clara, CA is seeking a technical architecture expert to define the Retail & CPG Platform and lead hands-on development with NVIDIA's AI stack. You will collaborate with product, engineering, and customer-facing teams to architect a scalable platform using Nemo, Nemotron, NeMo, RAPIDS and cuOpt, with focus on digital commerce, supply chain and intelligent stores.

Play a key role in shaping reference architectures, reliability, and performance, delivering production-grade systems

Qualifications

  • BS/CS or EE required or equivalent experience.
  • 15+ years in high-growth tech or AI/agentic solutions for retailers.
  • Proven developer of AI agents and hands-on coding.
  • Experience with AI systems, LLMs, RAG, agent-based architectures.
  • Strong data pipelines and systems architecture knowledge.
  • Experience with distributed systems, APIs, and microservices.

Responsibilities

  • Define product and technical vision and architecture.
  • Architect and build scalable platform for retail and CPG.
  • Collaborate with engineering to deliver production-ready platform.
  • Leverage NVIDIA blueprints and workflows for rapid delivery.
  • Engage with ISVs and customers to showcase platform.

Skills

AI agents
LLMs & RAG
APIs
Microservices
Data pipelines
Embeddings
Distributed systems
CUDA/TensorRT

Education

Bachelor of Science in CS or EE
Master's degree preferred

Tools

Nemo
Nemotron
NeMo
NIM
RAPIDS
cuOpt

Job description

NVIDIA in Santa Clara, CA is seeking a technical architecture expert to define the Retail & CPG Platform and lead hands-on development with NVIDIA's AI stack. You will collaborate with product, engineering, and customer-facing teams to architect a scalable platform using Nemo, Nemotron, NeMo, RAPIDS and cuOpt, with focus on digital commerce, supply chain and intelligent stores.

Play a key role in shaping reference architectures, reliability, and performance, delivering production-grade systems

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