Solutions Architect, Retail Data Science
US, CA, Santa Clara
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.
The base salary range is 148,000 USD - 276,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. ApplyJob Profile
Occasional travel required Open to remote work Open to remote work locations
Benefits/PerksBenefits Competitive salaries Comprehensive benefits Comprehensive benefits package Diversity Eligible for Equity Equity Equity and benefits Equity opportunities Excellent engineering work culture Excellent work culture Remote work Work environment
Tasks- Build blueprints for retail use-cases
- Collaborate with teams
- Develop generative ai solutions
- Drive technology adoption
- Forecasting
- Secure design wins
Accelerated analytics AI AI solutions Analytics Communication Computer Vision Containers Cybersecurity Data center Data center deployments Data engineering Data Science Docker Documentation Engineering Forecasting Generative AI GitHub GPUs Kubernetes LLM Llm workflows Marketing MLOps Nemo Nim NVIDIA Nvidia software platforms Open Source Optimization Organization Presentation Python Rag workflows Sales Software Engineering Solution Architecture Technical Presentation Visualization Writing
Experience5 years
EducationB.S. in Computer Science BS in Engineering BS in Mathematics B.S. in physics Computer Science Computer Vision Data Science Engineering Equivalent Equivalent experience Marketing Mathematics Physics
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9