About The Position

As a Principal Software Engineer, you will set the technical direction for NVIDIA's global Developer Compute platform, which includes AI agent sandboxes and virtual desktop infrastructure. You will architect and build services that provision, stream, secure, and operate cloud-hosted compute environments at global scale across AWS and Azure. These environments serve AI agents and the people who work alongside them. You will partner with engineering, IT, and security leaders across NVIDIA to turn AI and end-user workflows into reliable, high-performance platform capabilities. This is a hands-on technical leadership role focused on defining how agents and people access compute at the frontier of AI.

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 of influencing technical direction across teams and organizations.

Nice To Haves

  • 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.
  • Enthusiasm for contributing to a high-trust, collaborative culture while bringing a unique perspective to the team.

Responsibilities

  • Lead 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.
  • 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 within NVIDIA to translate AI workflow and end-user compute requirements into a multi-year platform roadmap.

Benefits

  • Equity
  • Benefits (specific benefits not listed)
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service