AI/GPU Cloud Architect

World leader in cloud solutions using tomorrow's technology to tackle today's challenges, partnering with industry-leaders for 40+ years.
United States
$113,100 - $185,100
Cloud
Staff Software Engineer
In-Person
5,000+ Employees
8+ years of experience
AI · Enterprise SaaS · Cloud

Description For AI/GPU Cloud Architect

Oracle is seeking a hands-on technical architect responsible for building and managing large compute (GPU/HPC) clusters. This role combines deep technical expertise with customer-facing responsibilities, requiring both architectural and implementation skills.

The ideal candidate will be responsible for designing and implementing cloud-based HPC/GPU solutions, working directly with Oracle's largest customers. You'll build automated deployment tools using technologies like Terraform and Ansible, while also serving as a trusted customer advocate to help organizations understand and implement best practices for cloud migration.

Key technical areas include IaaS, HPC, GPU technologies, Linux OS, networking, and security. You'll need expertise in scripting (Python, shell, etc.), cluster networking, distributed systems, and container technologies. The role requires both deep technical knowledge and strong business acumen, with 6-10+ years of relevant experience.

As a solutions architect, you'll work at the intersection of technology and business value, helping shape next-generation SaaS offerings on Oracle Cloud. This includes conducting technical deep-dives, leading architectural discussions, and ensuring successful solution deployment. You'll also contribute to the broader technical community through knowledge sharing, best practices development, and technical content creation.

The position offers competitive compensation ($113,100-$185,100) plus equity potential and comprehensive benefits. This role requires a security clearance and is not eligible for visa sponsorship. Join Oracle's cloud team to work with cutting-edge technology while driving business impact at scale.

Last updated 20 hours ago

Responsibilities For AI/GPU Cloud Architect

  • Build and manage large compute (GPU/HPC) clusters
  • Build automated cluster deployment tool using Terraform and Ansible
  • Work with customers to gather requirements and develop architectures
  • Implement solutions through code development and scripting
  • Create technical assets (white papers, solution code, blog posts)
  • Support customers from POC through production deployment
  • Provide direction and mentoring to others
  • Maintain expertise in emerging technologies

Requirements For AI/GPU Cloud Architect

Python
Linux
Kubernetes
  • Bachelor and/or Masters level degree in Computer Science, Math or Engineering
  • Solid understanding of IaaS, HPC, GPU technologies, Linux OS and networking
  • Expertise with designing on premises / Cloud based HPC/GPU deployments
  • Scripting capability in Python, powershell, shell/bash, Terraform and Ansible
  • Knowledge of TCP/IP fundamentals, RDMA, InfiniBand, cluster networking
  • Working knowledge of distributed/parallel file systems
  • Experience with Container Engine (Managed Kubernetes/Docker Services)
  • 5+ years of pre sales or technical consulting
  • Security clearance required

Benefits For AI/GPU Cloud Architect

Medical Insurance
Dental Insurance
Vision Insurance
401k
Parental Leave
Mental Health Assistance
  • Medical, dental, and vision insurance
  • Short term and long term disability
  • Life insurance and AD&D
  • Health care and dependent care Flexible Spending Accounts
  • 401(k) Savings with company match
  • Flexible Vacation
  • 11 paid holidays
  • Paid sick leave
  • Paid parental leave
  • Adoption assistance
  • Employee Stock Purchase Plan

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