Principal Software Engineer, Retail and CPG Platform Architecture

This is a fully remote position, open to applicants in California.

📋 Description

• Establish the product and technical vision, along with the architecture, for the Retail & CPG platform.

• Formulate the platform strategy encompassing supply chain, retail operations, and e-commerce.

• Hands-on architecture and system building utilizing NVIDIA retail, agentic commerce, and supply chain blueprints.

• Create reusable reference architectures for broader industry adoption.

• Employ NVIDIA NeMo, NIM, RAPIDS, and cuOpt to develop code and construct the platform.

• Deliver a production-ready platform in collaboration with NVIDIA engineering, emphasizing latency, throughput, and cost efficiency.

• Ensure system reliability by implementing monitoring, evaluation, and fallback strategies.

• Collaborate with product management, business development, developer relations, solution engineers, and engineering teams within Retail & CPG.

• Present the platform to Independent Software Vendors (ISVs), Global System Integrators (GSIs), and customers.

• Contribute to technical thought leadership and actively engage with the industry.

⛳️ Requirements

• Bachelor of Science or equivalent experience in computer science or electrical engineering.

• Over 15 years of progressive work experience in rapidly growing tech companies or in developing AI and agentic solutions for a major retailer.

• Demonstrated ability to write code and successfully deliver systems.

• Experience as a developer of AI agents.

• Proficient in AI systems development, including large language models (LLMs), retrieval-augmented generation (RAG), and agent-based systems.

• Strong comprehension of data pipelines, embeddings, and systems architecture.

• Experience with distributed systems, APIs, and microservices.

• Proven success in lean, fast-paced environments, collaborating effectively with engineering teams.

• Familiarity with GPU acceleration libraries such as CUDA, Triton, and TensorRT.

• Experience with enterprise-level AI architectures.

• A Master's degree or equivalent experience in computer science is highly preferred.

🏝️ Benefits

• Equity.

• Benefits.