Principal Software Engineer, AI Compute Platform

NVIDIA Corporation

United States

Remote

USD 248,000 - 391,000

Full time

5 days ago

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Job summary

NVIDIA Corporation is seeking a Principal Software Engineer to set the technical direction for our global Developer Compute platform, including AI agent sandboxes and virtual desktop infrastructure. You will architect and build services that provision, stream, secure, and operate cloud-hosted compute environments at scale across AWS and Azure.

This hands-on technical leader will partner with engineering, IT, and security to translate AI workflows into reliable platform capabilities, drive

Qualifications

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.

Responsibilities

Leading contributions to the end-to-end architecture of NVIDIA's AI agent compute and virtual desktop platforms, from strategy through deployment.
Developing distributed compute services that provision and manage secure, isolated agent environments and virtual desktops across clouds.
Driving the desktop streaming strategy, including protocol architecture, performance tuning, and end-user experience.
Collaborating with leaders to translate AI workflow and end-user compute requirements into a multi-year platform roadmap.