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Principal Software Engineer, Retail and CPG Platform Architecture

🔥 0 minutes ago

🏄 California – Remote

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đź’µ $240k - $379.5k / year

⏰ Full Time

đź”´ Lead

đź”™ Backend Engineer

🦅 H1B Visa Sponsor

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đź‘» Ghost score 1%

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Logo of NVIDIA

NVIDIA

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

đź“‹ Description

• Define the product and technical vision and architecture for the Retail & CPG platform • Develop platform strategy across supply chain, stores, and e-commerce • Architect and build systems hands-on using NVIDIA retail, agentic commerce, and supply chain blueprints • Build reusable reference architectures for industry adoption • Use NVIDIA 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 • Collaborate with Retail & CPG product management, business development, developer relations, solution engineers, and engineering teams • 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 • Experience as a developer of AI agents • Developer expertise in AI systems, including LLMs, RAG, and agent-based systems • Strong understanding of data pipelines, embeddings, and systems architecture • Experience with distributed systems, APIs, and microservices • Success in lean, high-velocity environments, collaborating with engineering • Familiarity with GPU acceleration libraries such as CUDA, Triton, and TensorRT • Experience working with enterprise AI architectures • Master's degree or equivalent experience in computer science is highly desirable

🏖️ Benefits

• Equity • Benefits

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