Principal Software Engineer, Retail and CPG Platform Architecture

NVIDIA Gruppe; Santa Clara (CA); On-site; USD 240,000 - 380,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA seeks a technical architecture expert to define and build the Retail & CPG platform. You will shape the architecture, leverage Nemo/Nemotron, and collaborate with engineering to deliver a scalable AI-powered commerce platform focused on digital commerce, supply chain, and intelligent stores.

Ideal candidates bring 15+ years in AI/retail tech, hands-on coding of AI agents, and strong experience with LLMs, RAG, and microservice-based architectures.

Qualifications

• 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.
• Builder mentality with proven track record to write code and ship systems. Having experience as a developer of 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.
• Shown success in lean, high-velocity environments, collaborating with engineering.

Responsibilities

• 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 blueprints and other NVIDIA components.
• Build a reusable reference architectures for industry adoption and define the product and architecture.
• Use NVIDIA technologies like NeMo, NIM, RAPIDS, and cuOpt to write code and build the platform.
• Deliver a production-ready platform focusing on latency, throughput, and cost efficiency.
• Ensure system reliability through monitoring, evaluation, and fallback strategies.
• Collaborate 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.

Skills

Architectural leadership

AI agent development

LLMs and RAG

Data pipelines and embeddings

Distributed systems APIs microservices

Lean, high-velocity environments

Team collaboration with engineers

Education

B.S. in CS or EE

Master’s degree desirable

Tools

CUDA

Triton

TensorRT

Nemo

Nemotron

NeMo

cuOpt

Job description

We’re looking for 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. This is a technical engineering role and requires familiarity with NVIDIA’s GPU acceleration libraries, experience in Retail, CPG, logistics, or marketplaces, and knowledge of enterprise AI architectures will make you an ideal candidate.

Join us and take the lead in building the retail platform and help us develop the future of AI in retail! Your mission is to leverage NVIDIA’s existing retail and supply chain blueprints, along with proven workflows and best practices codified through customers and ISV engagements, to define the architecture and build the Retail & CPG platform. You will be responsible for architecting and collaborating with engineering teams across NVIDIA, to build the platform. Built on NVIDIA’s full stack—including Agentic AI, Physical AI, and accelerated computing—this platform will power our three strategic pillars: digital commerce, supply chain, and intelligent stores.

What you'll be doing:

• You will work with Retail & CPG product management, business development, and developer relations teams to harness their deep expertise in supply chain and retail to architect and build a platform that makes it easier for our ecosystem and customers to build AI solutions at scale. The platform will use our NVIDIA Nemo microservices and Nemotron open-source models, with initial priority on Agentic AI for supply chain, digital commerce and employee productivity. This role will initially be an individual contributor with developer experience building AI agents and will collaborate with a strong technical retail and supply chain team, as well as horizontal engineering team(s).
• 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, as well as other key components of NVIDIA platform for hyper-personalization, new formulation discovery with NVIDIA ALCHEMI and CuOpt supply chain optimization solvers.
• 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.
• 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, and resources secured from engineering.
• Deliver a production-ready platform together with NVIDIA engineering, focusing on latency, throughput, and cost efficiency.
• Ensure system reliability through monitoring, evaluation, and fallback strategies.
• Work together 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.

What we need to see:

• 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.
• Builder mentality with proven track record to write code and ship systems. Having experience as a developer of 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.
• Shown success in lean, high-velocity environments, collaborating with engineering.

Ways to stand out from the crowd:

• Familiarity with GPU acceleration libraries (CUDA, Triton, TensorRT).
• Background in Retail, CPG, logistics, or marketplaces is a plus, but not required.
• Experience working with enterprise AI architectures.
• Master’s degree or equivalent experience in computer science is highly desirable.

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and dedicated people in the world working for us.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 240,000 USD - 379,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 30, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.