Interested in developing innovative 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 and performance-tuning workloads on Apache Spark Data Science platforms. 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 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 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 in commercial SPARK Platforms - Apache Spark, Databricks, Dataproc
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 location. We look forward to have you join our team! 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.The base salary range is 144,000 USD - 270,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.