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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in architecting and building global cloud compute infrastructures, with a strong focus on AI agent platforms and desktop streaming solutions. Proficient in leveraging AWS and Azure services to deliver secure, scalable, and high-performance environments.
Highest-signal resume keywords
Cloud EngineeringAI Agent DevelopmentDesktop Streaming ProtocolsAWS and Azure ServicesZero-Trust Architecture
ATS Keywords
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Hard Skills
Cloud ComputingInfrastructure ArchitectureAI-Native DevelopmentGPU VirtualizationDistributed ComputingPerformance TuningSystems DesignEnd-User Computing SolutionsVirtual Desktop PlatformsMulti-Tenant Isolation
Soft Skills
Excellent CommunicationCollaborative Culture BuildingInfluencing Technical Direction
Tools & Technologies
AWS EC2Azure VMsAmazon WorkSpacesAzure Virtual DesktopNVIDIA vGPUPCoIPAmazon DCVOmnissa Blast ExtremeCitrixOmnissa Horizon
Industry Keywords
Cloud HostingCompute EnvironmentsAI WorkflowsSecurity ServicesNetworking Services
Tech Stack
Tools & technologiesAWSAzureCitrixCloudEC2
About the role
Key responsibilities & impact- Set the technical direction for NVIDIA's global Developer Compute platform
- Architect and build services that provision, stream, secure, and operate cloud-hosted compute environments at global scale across AWS and Azure
- Lead end-to-end architecture of AI agent compute and virtual desktop platforms, from technical strategy and systems design through implementation, testing, and global deployment
- Develop distributed compute services that provision and manage secure, isolated agent environments and virtual desktops across multiple clouds, availability zones, and regions
- Drive desktop streaming strategy, including protocol architecture, performance tuning, and end-user experience for GPU-accelerated and general-purpose workloads
- Collaborate with engineering, IT, and security leaders to translate AI workflow and end-user compute requirements into a multi-year platform roadmap
Requirements
What you’ll need- Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent experience
- 15+ years of experience in software, platform, infrastructure, or cloud engineering, including architecting, developing, and deploying global cloud compute infrastructure
- Deep, hands-on experience with AWS and/or Azure compute, networking, identity, and storage services, such as EC2, VPC, Azure VMs, VNets, and Entra ID
- Deep expertise in desktop streaming protocols such as Amazon DCV, PCoIP, or Omnissa Blast Extreme, including tuning for latency, bandwidth, and graphics performance
- Experience designing and operating end-user computing solutions such as Amazon WorkSpaces, Azure Virtual Desktop, Windows 365, Citrix, or Omnissa Horizon
- Experience with AI-native development and coding agents
- Excellent communication skills and a proven track record to influence technical direction across teams and organizations
- Experience building platforms for AI agents, sandboxed execution, or computer-use agents that operate in full desktop environments
- Experience with GPU virtualization, such as NVIDIA vGPU, and GPU-accelerated virtual workstations
- Thorough understanding of zero-trust architecture, container and VM security, and multi-tenant isolation
- Ability to contribute to a high-trust, collaborative culture
Benefits
Comp & perks- Equity
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