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23 часа назад

NVIDIA Solutions Architect (Retail / CPG)

129 000 - 203 000$
Формат работы
remote (только USA)/hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

NVIDIA Solutions Architect (Retail / CPG) (NVIDIA Ecosystem/Cloud): Designing and implementing enterprise technology solutions for Retail and CPG operations with an accent on GPU-accelerated computing and cloud-native architectures. Focus on translating complex business challenges into scalable architectural solutions and delivering end-to-end AI/ML and digital twin implementations.

Location: Must be based in the USA; Remote work with home office available

Salary: $129,000 - $203,000

Company

hirify.global is a leading digital transformation company providing software development and consulting services to help enterprises modernize their technology landscapes.

What you will do

  • Architect and deliver end-to-end enterprise solutions for the Retail and CPG sectors using NVIDIA technologies like Omniverse, Metropolis, and CUDA.
  • Integrate on-premise systems with cloud-based services from Azure, AWS, and GCP to ensure scalability and security.
  • Serve as a technical advisor to clients, translating complex business challenges into scalable architectural designs.
  • Develop proof-of-concept (PoC) solutions and guide full-scale implementations throughout the project lifecycle.
  • Collaborate with sales teams on pre-sales activities, including RFPs/RFIs and technical demonstrations.
  • Mentor and coach other solution and technical architects within the organization.

Requirements

  • 10+ years of experience in IT, with a primary focus on solution and enterprise architecture.
  • Must be based in the USA.
  • Hands-on expertise with the NVIDIA ecosystem (GPUs, Jetson, DGX) and software frameworks (CUDA, TensorRT, Omniverse).
  • Deep experience with cloud computing platforms (Azure, AWS, GCP), containers (Kubernetes, Docker), and hybrid deployments.
  • Strong knowledge of AI/ML frameworks, MLOps pipelines, and microservices architecture.
  • Ability to travel 30% of the time.

Nice to have

  • Relevant certifications such as TOGAF, NVIDIA, or cloud provider certifications.
  • Bachelor's degree in Computer Science, Engineering, or a related field.

Culture & Benefits

  • Flexible work arrangement supporting remote work with a home office.
  • Opportunity for variable compensation in addition to base salary.
  • Inclusive work environment as an Equal Opportunity Employer.

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