Principal Software Engineer, Retail and CPG Platform Architecture

About the role

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.

Responsibilities

• 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.
• 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.

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.
• 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.

Qualifications

• 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.

Benefits

• 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.

Pay

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.

Schedule

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