NVIDIA Solutions Architect (Retail/CPG)

TL;DR

NVIDIA Solutions Architect (Retail/CPG): Designing and implementing enterprise technology solutions using NVIDIA's hardware/software ecosystem and cloud-native architectures to transform Retail and CPG operations with an accent on GPU-accelerated computing and edge AI/ML. Focus on translating complex business challenges into scalable architectural solutions and driving digital transformation through AI, digital twins, and computer vision.

Location: USA. Remote or office-based. Ability to travel 30% of the time is required.

Salary: $129,000 – $203,000 annually

Company

A leading global technology consulting company specializing in digital transformation and software engineering.

What you will do

• Architect end-to-end enterprise solutions for Retail and CPG using NVIDIA's stack (Omniverse, Metropolis, CUDA, TensorRT).
• Integrate on-premise systems with cloud platforms (Azure, AWS, GCP) ensuring scalability, security, and cost-effectiveness.
• Act as a technical advisor to clients, translating complex business challenges into high-performance architectural designs.
• Develop Proof-of-Concept (PoC) solutions and guide full-scale implementations of GPU-accelerated and edge AI workloads.
• Collaborate with sales and delivery teams to execute complex solution strategies and participate in pre-sales activities.
• Mentor other architects and drive innovation by identifying emerging technology trends to create competitive advantages.

Requirements

• 10+ years of IT experience with a focus on solution and enterprise architecture.
• Hands-on expertise with NVIDIA hardware (GPUs, Jetson, DGX) and software frameworks (CUDA, TensorRT, Omniverse, Metropolis, NIM).
• Extensive experience with major cloud computing platforms (Azure, AWS, GCP) including IaaS, PaaS, and SaaS.
• Deep knowledge of AI/ML frameworks, microservices, event-driven architecture, and domain-driven design.
• Strong understanding of enterprise architecture frameworks such as TOGAF or Zachman.
• Bachelor's degree in Computer Science, Engineering, or a related field.

Nice to have

• Relevant certifications in TOGAF, Cloud platforms, or NVIDIA.
• Experience with DevOps practices and tools.
• Familiarity with data engineering, data modeling, and MLOps pipelines.

Culture & Benefits

• Flexible workplace policy allowing work from home or any company office within the country.
• Opportunity to work with cutting-edge NVIDIA technology and drive industry innovation.
• Collaborative environment with focus on mentoring and technical leadership.
• Equal Opportunity Employer commitment to diversity and inclusion.