Solutions Architect, Retail Data Science

$148,000 - $276,000/Yr

Nvidia

Full-time - Mid Level

Remote

Computer and Electronic Product Manufacturing

About the position

The Solutions Architect for Retail Data Science at NVIDIA is responsible for developing innovative Generative AI solutions tailored for the Retail industry. This role involves collaborating with key Fortune 100 customers to drive technology adoption and secure design wins across various deployment environments, including Data Center, Edge, and Cloud. The architect will leverage NVIDIA's advanced Generative AI platforms to create solutions that address critical retail use cases such as forecasting, supply chain optimization, and cybersecurity.

Responsibilities

• Be part of the North America Retail Solution Architecture Team working with key Fortune 100 customers.
• Drive NVIDIA technology adoption and secure innovative design wins in Data Center, Edge, and Cloud Deployments.
• Develop and demonstrate solutions based on NVIDIA's Generative AI platforms (NeMo, NIM).
• Collaborate with customers to build innovative solutions for retail use cases like forecasting and supply chain optimization.
• Partner with NVIDIA Engineering, Product, and Sales teams to secure design wins and enhance product features through customer feedback.

Requirements

• BS in Engineering, Mathematics, Physics, or Computer Science or equivalent experience.
• 5+ years experience as a Data Scientist, Data Engineer, or Software Engineer with a proven track record in developing LLM workflows and writing code in Python.
• Ability to communicate ideas and code clearly through GitHub, documentation, and presentations.
• Enjoy collaborating with teams across the organization such as Engineering/Research, Sales, Product, and Marketing.
• Effective verbal/written communication and technical presentation skills.
• Self-starter with a passion for growth and enthusiasm for continuous learning.

Nice-to-haves

• External customer-facing skill-set and background.
• Development experience with NVIDIA software platforms, libraries, and GPUs.
• Experience working with Commercial and Open Source GenAI solutions.
• Experience building RAG workflows and fine-tuning LLM models.
• Knowledge of MLOps technologies such as Docker/containers, Kubernetes, and data center deployments.

Benefits

• Highly competitive salaries
• Comprehensive benefits package
• Equity options
• Remote work flexibility