Senior Solutions Architect Retail
@ NVIDIA

Hybrid
$250,000
Hybrid
Full Time
Posted 24 days ago

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Job Details

Overview

Join NVIDIA as a Senior Solutions Architect Retail, architecting innovative AI GPU platforms for data center and edge deployments at top Retail, CPG, and QSR companies. This role is focused on designing system architectures to solve complex business use cases using NVIDIA technologies.

What You’ll Be Doing

  • Join the North America Retail Solution Architecture Team to drive NVIDIA technology adoption at key Fortune 100 customers.
  • Drive adoption of Accelerated Compute Platforms using virtualization, Kubernetes, Docker, and Run:AI.
  • Lead customer proof-of-concepts for next-generation Retail Industry solutions.
  • Support the sales process for GPU, network hardware, and software products.
  • Act as a trusted technical advisor and collaborate with Engineering, Sales, and Product teams.

What We Need To See

  • BS in Engineering, Mathematics, Physics, or Computer Science (or equivalent experience).
  • 8+ years in Enterprise Accelerated Computing (HPC, Deep Learning, Machine Learning).
  • Strong industry knowledge in Retail and modern data center computing architectures.
  • Experience with GPU technology, GenAI architectures and shared compute infrastructure.
  • Effective communication, technical presentation, and a collaborative mindset.

Ways To Stand Out

  • Experience with large-scale edge and compute clusters.
  • Specialty in deploying GPU computing clusters for AI workloads.
  • Expertise in Containers, Kubernetes, and workload orchestration.
  • Knowledge of MLOps technologies like Run:AI for extensive deployments.
  • Creative problem-solving and debugging complex technical issues.

Compensation & Benefits

Salary is based on location and experience, with eligibility for equity and benefits. Applications are accepted until September 19, 2025.

Diversity & Inclusion

NVIDIA is committed to fostering a diverse work environment. We are an equal opportunity employer and do not discriminate based on any protected characteristic.

Key skills/competency

  • Retail
  • Solutions Architecture
  • NVIDIA
  • GPU
  • Data Center
  • Edge
  • Kubernetes
  • Containers
  • MLOps
  • DevOps
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How to Get Hired at NVIDIA

🎯 Tips for Getting Hired

  • Customize Resume: Highlight relevant GPU and AI project experience.
  • Research NVIDIA: Understand their tech, mission, and innovations.
  • Prepare Case Studies: Showcase enterprise solution architecture skills.
  • Engage on LinkedIn: Connect with current employees for insights.

📝 Interview Preparation Advice

Technical Preparation

Study NVIDIA GPU technology
Practice Kubernetes, Docker deployment
Review MLOps workflows briefly
Understand data center architectures

Behavioral Questions

Describe past teamwork in projects
Explain handling challenging technical issues
Share innovative solution experiences
Discuss cross-functional collaboration examples

Frequently Asked Questions