Nvidia Solutions Architect Retail Data Science 

United States, Texas 

931966407

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 Spark RAPIDS platform.

• Perform in-depth analysis of customer SPARK workloads to ensure the optimized performance on GPU architectures.

• 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 writing code in Python

• Ability to communicate your ideas/code clearly through GitHub, documentation, and presentations

• Enjoy collaborating with teams across the organization such asEngineering/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 in commercial SPARK Platforms - Apache Spark, Databricks, Dataproc

• Knowledge of MLOps technologies such as Docker/containers, Kubernetes, data center deployments etc