2 months ago
Base Salary
$240k - $380k/yr
Responsibilities
- Define the product vision, technical vision, architecture, and platform strategy for NVIDIA’s Retail and CPG platform.
- Architect and build reusable platform systems across supply chain, intelligent stores, and e-commerce using NVIDIA blueprints and technologies.
- Develop AI-agent capabilities for supply chain, digital commerce, and employee productivity use cases.
- Collaborate with NVIDIA engineering, product management, business development, developer relations, solution engineers, ISVs, GSIs, and customers.
- Deliver a production-ready platform optimized for latency, throughput, cost efficiency, and reliability.
- Implement monitoring, evaluation, and fallback strategies and contribute to technical thought leadership.
Requirements
- Bachelor of Science in computer science or electrical engineering, or equivalent experience.
- 15+ years of dynamic experience in high-growth technology companies or building AI and agentic solutions for a major retailer.
- Proven ability to write code and ship systems, including mandatory experience developing AI agents.
- Expertise in AI systems, including LLMs, RAG, and agent-based systems.
- Strong understanding of data pipelines, embeddings, systems architecture, distributed systems, APIs, and microservices.
- Experience collaborating with engineering teams in lean, high-velocity environments.
- Familiarity with GPU acceleration libraries such as CUDA, Triton, and TensorRT is preferred.
- Retail, CPG, logistics, or marketplace experience and enterprise AI architecture experience are preferred.
- A master’s degree or equivalent experience in computer science is highly desirable.
Benefits
- Eligible for equity and benefits.
- Base salary is determined by location, experience, and comparable employee pay.
- Applications will be accepted at least until August 30, 2026.
Tech Stack
Nim
Categories
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.