Solutions Architect, Retail Data Science

Interested in developing innovative Generative AI solutions with the world's top Retail, CPG, and QSR companies ?

At NVIDIA, our passion is working with the world's most challenging problems in Computer Vision, Accelerated Analytics and Visualization using our innovative platforms. We are looking for a Senior Solution Architect with experience in developing Generative AI workflows. We need a passionate, hard-working, and creative individual to help us pursue major opportunities in the Retail Industry. A Solution Architect brings focus and technical expertise about NVIDIA technological advances to our partners and customers.

What you’ll be doing:

• You will be part of our North America Retail Solution Architecture Team working with key Fortune 100 customers to drive NVIDIA technology adoption and secure innovative design wins in both Data Center, Edge and Cloud Deployments.

• Develop and demonstrate solutions to customers based on NVIDIA’s ground breaking Generative AI platforms (NeMo, NIM).

• Work closely with customers to build innovative blueprints for key Retail Industry use-cases such as forecasting, supply chain optimization, recommendation, and cybersecurity.

• Partner with NVIDIA Engineering, Product, Sales teams to secure design wins at customers and growth of NVIDIA product features through customer feedback.

What we need to see:

• BS in Engineering, Mathematics, Physics, or Computer Science or equivalent experience

• 5+ years experience as a Data Scientist, Data Engineer, or Software Engineer with proven track record in developing LLM workflows and writing code in Python

• Ability to communicate your ideas/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 passion for growth, enthusiasm for continuous learning and sharing findings across the team

Ways to stand out from the crowd:

• 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, data center deployments etc

We make extensive use of conferencing tools, but occasional travel is required for local on-site visit to customers and data science conferences. We are open to remote work locations.

With highly competitive salaries, a comprehensive benefits package, and an excellent engineering work culture, NVIDIA is widely considered to be one of the technology industry's most desirable employers.