Senior Solutions Architect, Retail

About the Role: Senior Solutions Architect, Retail

Are you interested in architecting innovative AI GPU platforms for data center and edge deployments at the world's top Retail, CPG, and QSR companies? NVIDIA is seeking a Senior Solutions Architect for our Retail Industry team. This role demands domain-specific knowledge and experience in assisting customers to architect their next-generation environments for deploying NVIDIA technologies. From data center to edge, on embedded systems, in servers, or in the cloud, you will design system architectures to help customers solve complex business use cases.

We are looking for a passionate, hard-working, and creative individual to help us pursue major opportunities in the retail industry. Your focus will be on NVIDIA's Enterprise Platforms, GPUs, networking, and software stacks, including Open Source platform solutions like MLOps, DevOps, Kubernetes, and containers. You will become a trusted technical advisor and leader to customers who recognize accelerated computing, deep learning, advanced data science, and artificial intelligence as the new computing revolution.

What You’ll Be Doing

• Join our North America Retail Solution Architecture Team to drive NVIDIA technology adoption and secure design wins at key Fortune 100 customers across Data Center, Edge, and Cloud Deployments.
• Lead the adoption of NVIDIA's Accelerated Compute Platforms, utilizing virtualization, Kubernetes, Docker, and Run:AI. Focus on enhancing customer DevOps and MLOps capabilities through NVIDIA's modern architectures and solutions.
• Lead customer proof-of-concepts (PoCs) for next-generation platforms, deploying Retail Industry solutions for key use cases.
• Support the business development team throughout the sales process for GPU/Network hardware/software products.
• Own the technical relationship and empower customers to build innovative solutions based on NVIDIA technologies.
• Partner with NVIDIA Engineering, Product, and Sales teams to develop solutions and provide crucial customer feedback for product development and growth.

What We Need To See

• BS in Engineering, Mathematics, Physics, or Computer Science (or equivalent experience).
• 8+ years of experience delivering Enterprise Accelerated Computing (HPC, Deep Learning, Machine Learning) computing infrastructure.
• Demonstrated detailed industry knowledge of Retail, with a background in modern datacenters for enterprise computing architectures (Storage, Compute, and Software stacks).
• Exposure to GPU technology and GenAI software architectures.
• Direct experience architecting, managing, and supporting shared compute infrastructure software.
• Experience working with enterprise developers and the academic research community, supporting computer vision, data analytics, or Deep Learning deployments.
• Enjoy collaborating with teams across the organization, including Engineering/Research, Sales, Product, and Marketing.
• Effective verbal/written communication and technical presentation skills.
• Self-starter with a passion for growth and an enthusiasm for continuous learning and sharing findings across the team.

Ways To Stand Out From The Crowd

• Experience architecting large-scale edge and compute clusters.
• Specialty skills in deploying large-scale GPU computing clusters to support AI workloads (Machine Learning, Deep Learning - Training and Inference).
• Experience with Containers, Kubernetes, or BCM for workload orchestration.
• Knowledge of MLOps technologies such as Run:AI for large-scale deployments.
• Ability to think creatively to debug and solve complex problems.

Key skills/competency

• AI GPU Platforms
• Data Center Deployments
• Edge Deployments
• Retail Industry Knowledge
• Accelerated Computing
• Deep Learning
• Machine Learning
• MLOps
• DevOps
• Kubernetes
• Computer Vision
• Data Analytics
• GenAI
• Enterprise Architectures