Principal Software Engineer, Developer Compute Platform

NVIDIA is hiring a Principal Software Engineer to set the technical direction for its global Developer Compute platform, which supports AI agent sandboxes and virtual desktop infrastructure. The role involves architecting and building secure, scalable cloud compute services and shaping desktop streaming strategy in collaboration with engineering, IT, and security leaders.

Responsibilities:

• Leading contributions to the end-to-end architecture of NVIDIA's AI agent compute and virtual desktop platforms, from technical strategy and systems design through implementation, testing, and global deployment
• Developing distributed compute services that provision and manage secure, isolated agent environments and virtual desktops across multiple clouds, availability zones, and regions
• Driving the desktop streaming strategy, including protocol architecture, performance tuning, and end-user experience for both GPU-accelerated and general-purpose workloads
• Collaborating with engineering, IT, and security leaders within NVIDIA to translate AI workflow and end-user compute requirements into a multi-year platform roadmap

Requirements:

• 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 to multiply developer efficiency
• 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
• A thorough understanding of zero-trust architecture, container and VM security, and multi-tenant isolation