Principal Software Engineer, Retail and CPG Platform Architecture

We're seeking a technical architecture expert with hands-on development experience to define the architecture of the Retail and Consumer Packaged Goods Platform and collaborate with engineering to build the platform.

You will work on leveraging NVIDIA's existing retail and supply chain blueprints to define the architecture and build the Retail & CPG platform, powered by NVIDIA's full stack, including Agentic AI, Physical AI, and accelerated computing.

Responsibilities:

• Collaborate with Retail & CPG product management, business development, and developer relations teams to architect and build a platform for building AI solutions at scale.
• Define product, technical vision, and architecture.
• Develop platform strategy across supply chain, stores, and e-commerce.
• Architect and build systems hands-on using existing Retail and Agentic Commerce, and supply chain blueprints.
• Build reusable reference architectures for industry adoption.
• Use NVIDIA technologies like NeMo, NIM, RAPIDS, and cuOpt to write code and create the platform.
• Deliver a production-ready platform with NVIDIA engineering, focusing on latency, throughput, and cost efficiency.
• Ensure system reliability through monitoring, evaluation, and fallback strategies.
• Work with Solution engineers and developer relations engineers to present the platform to ISVs, GSIs, and customers.
• Contribute to technical thought leadership and engage with the industry.

Requirements:

• Bachelor of Science or equivalent experience in computer science or electrical engineering.
• 15+ years of dynamic work experience within high-growth tech companies or building AI and agentic solutions for a major Retailer.
• Proven track record to write code and ship systems.
• 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.

Nice to Have:

• Familiarity with GPU acceleration libraries (CUDA, Triton, TensorRT).
• Background in Retail, CPG, logistics, or marketplaces.
• Experience working with enterprise AI architectures.
• Master's degree or equivalent experience in computer science.